{"id":7287,"date":"2016-12-19T14:00:03","date_gmt":"2016-12-19T19:00:03","guid":{"rendered":"https:\/\/cnr.ncsu.edu\/geospatial\/?p=7287"},"modified":"2024-09-11T09:23:36","modified_gmt":"2024-09-11T13:23:36","slug":"solving-problems-map","status":"publish","type":"post","link":"https:\/\/cnr.ncsu.edu\/geospatial\/news\/2016\/12\/19\/solving-problems-map\/","title":{"rendered":"Solving Problems around the World, One Map at a Time"},"content":{"rendered":"\n\n\n\n\n<h2 class=\"wp-block-heading\">Master\u2019s Capstone Projects Pair Service Learning and Geospatial Science<\/h2>\n\n\n\n<p>The Center for Geospatial Analytics is celebrating this season the Fall 2016 graduation of 19 professional master\u2019s students in Geospatial Information Science and Technology (<a href=\"http:\/\/online.geospatial.ncsu.edu\/programs\/master-of-geospatial-information-science-technology\/\">MGIST<\/a>)\u2013\u2013one of the largest groups of graduates yet. During their final semester, each student in the MGIST program participates in a service-learning <a href=\"http:\/\/online.geospatial.ncsu.edu\/partnership\/capstone-community-partners\/\">capstone<\/a> project, working directly with a community or industry partner to apply their knowledge and skills to a real-world problem.&nbsp;Service learning differs from community service in that students do&nbsp;not simply&nbsp;provide a service to complete a task, explains&nbsp;Charlynne Smith, instructor of the MGIST capstone <a href=\"http:\/\/online.geospatial.ncsu.edu\/courses\/graduate-2\/#gis590\">course<\/a>; rather, they work&nbsp;collaboratively with their&nbsp;external&nbsp;partner to solve a problem together, all&nbsp;learning during the process.<\/p>\n\n\n\n<p>This fall, topics ranged from <a href=\"#elephants\"><u>tracking elephants in Bhutan<\/u><\/a> and <a href=\"#bats\">finding bat habitats in Washington<\/a> to <a href=\"#potatoes\">discovering sweet potato fields<\/a>, <a href=\"#voting\">working for social justice<\/a> and <a href=\"#Habitat\">affordable housing<\/a>, <a href=\"#NCNatlGuard\">supporting emergency personnel<\/a>, and <a href=\"#more\">more<\/a>. Read on for a glimpse into the exciting work that our graduating master\u2019s students have produced this semester to Think and Do for their capstone projects\u2013\u2013in North Carolina, around the nation, and across the world!<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"elephants\"><\/a> Preventing human-elephant conflicts<\/h3>\n\n\n\n<p>When elephants and people share the same space, consequences can be dire for both; a new mapping project by MGIST students seeks to prevent dangerous encounters and save habitats, property, and lives. <strong>John Stuebe<\/strong> and <strong>Greg White<\/strong> partnered with Elephants on the Move, an organization that works chiefly in India, and the Elephant Conservation Programme in Bhutan to develop web GIS applications that will help residents in Bhutan document encounters with wild elephants and ultimately avoid them. \u201cThe goal is to hopefully reduce human-elephant conflict to zero,\u201d says John. The students developed digital forms for citizen scientists to use on their mobile devices, for gathering data about human-elephant conflicts and elephants\u2019 habitat use. These will help identify hotspots of elephant activity and habitat suitability. \u201cWhat might be the attracting factors to draw elephants to the area and keep them there?\u201d Greg says. Understanding how elephants and local people compete for space and resources may also help planning in the region. The data&nbsp;could be used by wildlife conservationists to identify areas with many elephants but few conflicts, where future development should be avoided. The students also are interested in expanding the apps to include an early warning system and prediction of elephant movements. When someone uses a geoform to report an elephant sighting, for example, local citizens could receive a text or email warning to avoid it. At a presentation of the final project, Lisa Mills, a researcher at University of Montana with Elephants on the Move, commented, \u201cThe applications are very real-world, and the work is much appreciated.\u201d<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"bats\"><\/a> Protecting the best homes for bats<\/h3>\n\n\n\n<figure class=\"wp-block-image wp-image-7294 size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"225\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/6\/2016\/12\/2-8781418423_871943e54b_o-300x225.jpg\" alt=\"Little brown bat\" class=\"wp-image-7294\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-300x225.jpg 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-460x345.jpg 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-376x282.jpg 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-345x259.jpg 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-360x270.jpg 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-220x165.jpg 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-440x330.jpg 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-410x308.jpg 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o-285x214.jpg 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2016\/12\/2-8781418423_871943e54b_o.jpg 480w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption class=\"wp-element-caption\">Photo: Caroline Byrne, Indiana State University, used under Creative Commons license 2.0<\/figcaption><\/figure>\n\n\n\n<p>White-nose syndrome is a fatal bat disease responsible for the deaths of millions of bats as it has spread west across the United States. This year, it reached Washington State, where little information previously existed about the distribution of important bat populations. MGIST student <strong>Molly Foley <\/strong>worked with the state\u2019s Department of Natural Resources to help staff identify where bats likely gather in greatest numbers, in the hopes of protecting them from impacts of the disease. (Humans are not affected by white-nose syndrome, but the fungus that causes it can be spread on the boots of otherwise well-meaning hikers.) Molly developed habitat suitability models in ArcGIS for the ten bat species in western WA, locating the most ideal places for them to live. Her community partner, Nicole Jacobsen of Washington State DNR, says that Molly\u2019s work has already proven useful for proactively protecting the bats and the habitats that help them thrive. \u201cWe\u2019ve been using [Molly\u2019s] model and data for a lot of different reasons,\u201d she says. In particular, it is important \u201cto find areas that we\u2019re already protecting for other reasons and then make sure that they\u2019re already in the right places\u201d so that the largest numbers of bats benefit.<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"potatoes\"><\/a> Finding unregistered sweet potatoes<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"201\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/3-Ag-crops-18-smaller-300x201.jpg\" alt=\"sweet potatoes\" class=\"wp-image-8619\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-300x201.jpg 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-768x515.jpg 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1024x686.jpg 1024w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-460x308.jpg 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-920x617.jpg 920w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-376x252.jpg 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-752x504.jpg 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-345x231.jpg 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-690x462.jpg 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1536x1029.jpg 1536w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-950x637.jpg 950w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-783x525.jpg 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1566x1050.jpg 1566w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-720x483.jpg 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1440x965.jpg 1440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-600x402.jpg 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-848x568.jpg 848w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-555x372.jpg 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1110x744.jpg 1110w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-360x241.jpg 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-220x147.jpg 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-440x295.jpg 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-825x553.jpg 825w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-659x442.jpg 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1318x883.jpg 1318w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-992x665.jpg 992w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1500x1005.jpg 1500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1200x804.jpg 1200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-500x335.jpg 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-1000x670.jpg 1000w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-410x275.jpg 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-820x550.jpg 820w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-285x191.jpg 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller-570x382.jpg 570w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/3-Ag-crops-18-smaller.jpg 1586w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>About half of the nation\u2019s sweet potatoes are grown in North Carolina, and all growers in the state who cultivate one acre or more pay dues to the nonprofit <a href=\"http:\/\/www.ncsweetpotatoes.com\">North Carolina Sweet Potato Commission<\/a>. At least, they usually do\u2026 The commission promotes the success of the crop and regularly sends agents afield to verify the acreage of growers. Needing a way to streamline their reporting and better identify potentially unregistered fields, they partnered with MGIST student <strong>Michael Chuang<\/strong> and <a href=\"http:\/\/www.prostarcorp.com\">ProStar Geocorp<\/a> to help locate and verify fields of sweet potatoes grown in the state.<\/p>\n\n\n\n<p>Knowing that sweet potato plants can be identified from satellite data based on the unique pattern of light they reflect, Michael used weekly satellite imagery of North Carolina to find sweet potato signatures that agents can then inspect on the ground. Michael examined data for 39&nbsp;counties in the state and helped agents find&nbsp;almost 5,000&nbsp;acres of unregistered sweet potato fields. To facilitate inspections, he&nbsp;developed a mobile application that \u201chelps agents find unregistered fields more accurately and efficiently,\u201d he says. Easy to use and \u201clike Facebook with really powerful geospatial functions,\u201d the app allows retired farmers working on behalf of the commission to draw field boundaries&nbsp;on digital maps where they find previously unknown sweet potato fields, upload photos, and see crew updates in real time to avoid duplicating effort.<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"voting\"><\/a> Seeking equality for early voting<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"297\" height=\"300\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/4-IMG_1079-297x300.png\" alt=\"Early voting sticker Wake County\" class=\"wp-image-8622\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-297x300.png 297w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-768x775.png 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-1015x1024.png 1015w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-460x464.png 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-920x928.png 920w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-376x379.png 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-752x759.png 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-345x348.png 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-690x696.png 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-950x958.png 950w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-783x790.png 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-720x726.png 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-300x303.png 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-600x605.png 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-848x855.png 848w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-555x560.png 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-1110x1120.png 1110w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-360x363.png 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-220x222.png 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-440x444.png 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-825x832.png 825w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-659x665.png 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-992x1001.png 992w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-1200x1210.png 1200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-500x504.png 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-1000x1009.png 1000w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-410x414.png 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-820x827.png 820w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-285x287.png 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079-570x575.png 570w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/4-IMG_1079.png 1260w\" sizes=\"auto, (max-width: 297px) 100vw, 297px\" \/><\/figure>\n\n\n\n<p>Early voting sites are meant to be convenient, one-stop shops for voters interested in casting their ballot before election day; making sure that they equitably serve all populations in a county is an important and complicated task. MGIST student <strong>Tony Fairfax<\/strong> partnered with the <a href=\"https:\/\/www.southerncoalition.org\">Southern Coalition for Social Justice<\/a> to determine how well residents in North Carolina of different races\/ethnicities are served by the locations of early voting sites. The model he developed uses census data to provide \u201cmetrics that can assist with strategic decisions,\u201d he says, by looking at how far different population groups reside from the nearest early voting site, the hours of operation of those sites, amounts of population served per site, and how many people per hour can be served. \u201cA county can actually view the impact of removing or [adding] early voting sites or changing hours, prior to implementation\u2013\u2013which can actually save them a lot of time, energy and possibly resources that are involved,\u201d Tony points out. \u201cThe metrics can assist with selection of a fair collection of early voting sites, which is of course the objective of what we\u2019re trying to do.\u201d Allison Riggs, a senior staff attorney with the coalition, and Tony\u2019s contact for the project, commented, \u201cWe\u2019re talking about revolutionizing how communities become part of this process. It\u2019s really critically important, and Tony\u2026did amazing work with this.\u201d<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"Habitat\"><\/a> Providing affordable housing in Wake County<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/5-WEB.BuildABlock.8312-300x200.jpg\" alt=\"Habitat for Humanity Build-A-Block sign\" class=\"wp-image-8623\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-300x200.jpg 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-768x513.jpg 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1024x683.jpg 1024w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-460x307.jpg 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-920x614.jpg 920w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-376x251.jpg 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-752x502.jpg 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-345x230.jpg 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-690x460.jpg 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1536x1025.jpg 1536w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-950x634.jpg 950w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1900x1268.jpg 1900w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-783x523.jpg 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1566x1045.jpg 1566w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-720x480.jpg 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1440x961.jpg 1440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-600x400.jpg 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-848x566.jpg 848w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1696x1132.jpg 1696w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-555x370.jpg 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1110x741.jpg 1110w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-360x240.jpg 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-220x147.jpg 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-440x294.jpg 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-825x551.jpg 825w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1650x1101.jpg 1650w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-659x440.jpg 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1318x880.jpg 1318w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-992x662.jpg 992w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1984x1324.jpg 1984w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1500x1001.jpg 1500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1200x801.jpg 1200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-500x334.jpg 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-1000x667.jpg 1000w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-410x274.jpg 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-820x547.jpg 820w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-285x190.jpg 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/5-WEB.BuildABlock.8312-570x380.jpg 570w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>MGIST student<strong> Ashleigh Cline<\/strong> developed a web application that will help <a href=\"http:\/\/www.habitatwake.org\">Habitat for Humanity of Wake County<\/a> better understand their applicant pool and the low-income areas with greatest housing need. The project was coordinated by emeritus director of the Center for Geospatial Analytics <a href=\"https:\/\/cnr.ncsu.edu\/geospatial\/directory\/hugh-devine\">Hugh Devine<\/a>, who also mentored several <a href=\"https:\/\/caldwellfellows.ncsu.edu\">NC State Caldwell Fellows<\/a> working on a <a href=\"https:\/\/cnr.ncsu.edu\/geospatial\/news\/2017\/01\/04\/caldwell-fellows-use-gis-to-help-habitat-for-humanity\/\">service learning project<\/a> for Habitat for Humanity this semester. Habitat\u2019s goal, Ashleigh points out, is \u201cto build safe affordable homes for those in need of housing.\u201d Using data that the group supplied, Ashleigh organized and made spatial all of the applicant info, allowing Habitat staff to now view, for example, how many applicants live within one mile of current and\/or planned public transportation; they can also now use census data to examine household income by city or political district. All of these data are now accessible through interactive maps or user-customized graphs.<\/p>\n\n\n\n<p>\u201cThis is just the beginning for Habitat,\u201d Ashleigh explains. \u201cThis is the first time they\u2019re seeing their data in a geographic context and [are] able to truly interact with it. Now they have the capability to really see where housing needs lie in Wake County and get a deeper understanding about who\u2019s applying for housing\u2013\u2013what are the commonalities of [the applicants], what are the differences, what do they have access to, what do they not have access to? It\u2019s bringing a whole new dynamic to their service model.\u201d<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"NCNatlGuard\"><\/a> Serving the North Carolina National Guard<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"200\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/6-Official_NCNG_Logo_-_250_x_250_mpix.jpg\" alt=\"NC National Guard logo\" class=\"wp-image-8624\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/6-Official_NCNG_Logo_-_250_x_250_mpix.jpg 200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/6-Official_NCNG_Logo_-_250_x_250_mpix-150x150.jpg 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/><\/figure>\n\n\n\n<p>MGIST students<strong> Robert Toomey<\/strong> and <strong>Sean Houng<\/strong> worked to develop a system that would allow the National Guard Joint Operations Headquarters to automatically track the real-time locations of their field personnel during emergency responses and even quickly receive requests for help. Says their National Guard contact, Todd Preddy, \u201cWhat we\u2019re trying to do is track a user\u2019s cell phone during an emergency event, like Hurricane Matthew that just came through, for the National Guard people on duty and our state partners\u201d\u2014partners such as the highway patrol, emergency management agencies, and firefighters. \u201cWe wanted something that would go across all platforms, because everybody has a different phone. And this is the first step down that path.\u201d Reflecting on his experience in the MGIST program, Robert, who works at the National Severe Storms Laboratory in Norman, Oklahoma, commented, \u201cGIS is so interesting to me because I can apply it to what I do. So, it\u2019s a win-win\u2026\u201d <strong>Stephanie Wendel<\/strong> also collaborated with the North Carolina National Guard to create a web application that allows personnel to easily track progress and needs during the management of construction projects. Says Todd, \u201cWe have plenty of uses lined up for this technology.\u201d<\/p>\n\n\n\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a id=\"more\"><\/a> And more!<\/h3>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"199\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/7-CAMPUS.earthday.7732-300x199.jpg\" alt=\"Electric and hybrid cars\" class=\"wp-image-8625\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-300x199.jpg 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-768x510.jpg 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1024x680.jpg 1024w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-460x306.jpg 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-920x611.jpg 920w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-376x250.jpg 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-752x500.jpg 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-345x229.jpg 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-690x458.jpg 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1536x1020.jpg 1536w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-950x631.jpg 950w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1900x1262.jpg 1900w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-783x520.jpg 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1566x1040.jpg 1566w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-720x478.jpg 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1440x957.jpg 1440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-600x399.jpg 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-848x563.jpg 848w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1696x1127.jpg 1696w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-555x369.jpg 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1110x737.jpg 1110w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-360x239.jpg 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-220x146.jpg 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-440x292.jpg 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-825x548.jpg 825w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1650x1096.jpg 1650w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-659x438.jpg 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1318x876.jpg 1318w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-992x659.jpg 992w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1984x1318.jpg 1984w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1500x997.jpg 1500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1200x797.jpg 1200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-500x332.jpg 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-1000x664.jpg 1000w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-410x272.jpg 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-820x545.jpg 820w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-285x189.jpg 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/7-CAMPUS.earthday.7732-570x379.jpg 570w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p><strong>Ch\u00e9rie Southwick <\/strong>partnered with MGIST&nbsp;alum Kevin Dunlop,&nbsp;currently working for Prince William County, Virginia, to experiment with developing three-dimensional models for&nbsp;flooding scenarios using&nbsp;ArcGIS Pro. A pair of students, <strong>Jenna David<\/strong> and <strong>Laura Kay<\/strong>, partnered with the <a href=\"https:\/\/nccleantech.ncsu.edu\">North Carolina Clean Energy Technology Center<\/a> to create a web application that shows drivers where in North Carolina they might refuel their electric or compressed natural gas vehicle; users of the web application&nbsp;can also create routes with turn-by-turn directions, adding those refueling stations as stops. <strong>Pam Slater<\/strong> and <strong>Dana Hartley<\/strong> collaborated with the assistant curator of conservation and research at the North Carolina Zoo, mapping the habitats and movement patterns of critically endangered vultures in East Africa.<\/p>\n\n\n\n<p>Some students even produced projects for the companies or agencies where they are currently employed. <strong>Seth Church<\/strong> works for the South Carolina Department of Health and Environmental Control; for his capstone project, he created a web application that students, reporters, and other community members can use to explore statewide public health statistics, even making their own customized reports and maps. <strong>John Burleson<\/strong> works for The Shopping Center Group, a retail-only real estate firm; he developed a web GIS platform that his company\u2019s brokers can access to add or retrieve information about current or future retail locations, without having to consult the company\u2019s GIS staff.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"201\" src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/8-OBJ.wheat_.0196-300x201.jpg\" alt=\"Raindrops on crops\" class=\"wp-image-8626\" srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-300x201.jpg 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-768x514.jpg 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1024x685.jpg 1024w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-460x308.jpg 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-920x616.jpg 920w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-376x252.jpg 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-752x503.jpg 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-345x231.jpg 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-690x462.jpg 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1536x1028.jpg 1536w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-950x636.jpg 950w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1900x1272.jpg 1900w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-783x524.jpg 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1566x1048.jpg 1566w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-720x482.jpg 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1440x964.jpg 1440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-600x402.jpg 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-848x568.jpg 848w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1696x1135.jpg 1696w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-555x371.jpg 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1110x743.jpg 1110w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-360x241.jpg 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-220x147.jpg 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-440x295.jpg 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-825x552.jpg 825w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1650x1104.jpg 1650w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-659x441.jpg 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1318x882.jpg 1318w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-992x664.jpg 992w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1984x1328.jpg 1984w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1500x1004.jpg 1500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1200x803.jpg 1200w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-500x335.jpg 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-1000x669.jpg 1000w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-410x274.jpg 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-820x549.jpg 820w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-285x191.jpg 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2017\/08\/8-OBJ.wheat_.0196-570x382.jpg 570w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n\n\n\n<p>Several students also connected with partners at NC State\u2019s College of Natural Resources or Center for Geospatial Analytics. <strong>Sudha Kumar<\/strong> worked with center research associate Okan Pala to develop a geospatial model for Jefferson County, KY, that could estimate demand on the county\u2019s water treatment plant. <strong>Jamie Dunbar<\/strong> partnered with silviculturist Elizabeth Snider of the Department of Forestry and Environmental Resources to monitor potential environmental impacts of recreational use of G.W. Hill Forest during fox hunts. <strong>Andrew Jones<\/strong> worked with research associate Cari Furiness of the Department of Forestry and Environmental Resources and the North Carolina Atmospheric Chemistry Consortium to develop a web app useful for visualizing the chemical composition of rainfall, particularly the deposition of nitrogen and sulfur from rain across the state through time.<\/p>\n\n\n\n<p>Congratulations to all our graduating MGIST students on their success!<\/p>\n","protected":false,"raw":"<!-- wp:ncst\/dynamic-header {\"block\":\"ncst\/default-post-header\"} -->\n<!-- wp:ncst\/default-post-header {\"caption\":\"\"} \/-->\n<!-- \/wp:ncst\/dynamic-header -->\n\n<!-- wp:heading -->\n<h2>Master\u2019s Capstone Projects Pair Service Learning and Geospatial Science<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>The Center for Geospatial Analytics is celebrating this season the Fall 2016 graduation of 19 professional master\u2019s students in Geospatial Information Science and Technology (<a href=\"http:\/\/online.geospatial.ncsu.edu\/programs\/master-of-geospatial-information-science-technology\/\">MGIST<\/a>)\u2013\u2013one of the largest groups of graduates yet. During their final semester, each student in the MGIST program participates in a service-learning <a href=\"http:\/\/online.geospatial.ncsu.edu\/partnership\/capstone-community-partners\/\">capstone<\/a> project, working directly with a community or industry partner to apply their knowledge and skills to a real-world problem.&nbsp;Service learning differs from community service in that students do&nbsp;not simply&nbsp;provide a service to complete a task, explains&nbsp;Charlynne Smith, instructor of the MGIST capstone <a href=\"http:\/\/online.geospatial.ncsu.edu\/courses\/graduate-2\/#gis590\">course<\/a>; rather, they work&nbsp;collaboratively with their&nbsp;external&nbsp;partner to solve a problem together, all&nbsp;learning during the process.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>This fall, topics ranged from <a href=\"#elephants\"><u>tracking elephants in Bhutan<\/u><\/a> and <a href=\"#bats\">finding bat habitats in Washington<\/a> to <a href=\"#potatoes\">discovering sweet potato fields<\/a>, <a href=\"#voting\">working for social justice<\/a> and <a href=\"#Habitat\">affordable housing<\/a>, <a href=\"#NCNatlGuard\">supporting emergency personnel<\/a>, and <a href=\"#more\">more<\/a>. Read on for a glimpse into the exciting work that our graduating master\u2019s students have produced this semester to Think and Do for their capstone projects\u2013\u2013in North Carolina, around the nation, and across the world!<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"elephants\"><\/a> Preventing human-elephant conflicts<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:paragraph -->\n<p>When elephants and people share the same space, consequences can be dire for both; a new mapping project by MGIST students seeks to prevent dangerous encounters and save habitats, property, and lives. <strong>John Stuebe<\/strong> and <strong>Greg White<\/strong> partnered with Elephants on the Move, an organization that works chiefly in India, and the Elephant Conservation Programme in Bhutan to develop web GIS applications that will help residents in Bhutan document encounters with wild elephants and ultimately avoid them. \u201cThe goal is to hopefully reduce human-elephant conflict to zero,\u201d says John. The students developed digital forms for citizen scientists to use on their mobile devices, for gathering data about human-elephant conflicts and elephants\u2019 habitat use. These will help identify hotspots of elephant activity and habitat suitability. \u201cWhat might be the attracting factors to draw elephants to the area and keep them there?\u201d Greg says. Understanding how elephants and local people compete for space and resources may also help planning in the region. The data&nbsp;could be used by wildlife conservationists to identify areas with many elephants but few conflicts, where future development should be avoided. The students also are interested in expanding the apps to include an early warning system and prediction of elephant movements. When someone uses a geoform to report an elephant sighting, for example, local citizens could receive a text or email warning to avoid it. At a presentation of the final project, Lisa Mills, a researcher at University of Montana with Elephants on the Move, commented, \u201cThe applications are very real-world, and the work is much appreciated.\u201d<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"bats\"><\/a> Protecting the best homes for bats<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":7294,\"className\":\"wp-image-7294 size-medium\"} -->\n<figure class=\"wp-block-image wp-image-7294 size-medium\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/6\/2016\/12\/2-8781418423_871943e54b_o-300x225.jpg\" alt=\"Little brown bat\" class=\"wp-image-7294\"\/><figcaption class=\"wp-element-caption\">Photo: Caroline Byrne, Indiana State University, used under Creative Commons license 2.0<\/figcaption><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>White-nose syndrome is a fatal bat disease responsible for the deaths of millions of bats as it has spread west across the United States. This year, it reached Washington State, where little information previously existed about the distribution of important bat populations. MGIST student <strong>Molly Foley <\/strong>worked with the state\u2019s Department of Natural Resources to help staff identify where bats likely gather in greatest numbers, in the hopes of protecting them from impacts of the disease. (Humans are not affected by white-nose syndrome, but the fungus that causes it can be spread on the boots of otherwise well-meaning hikers.) Molly developed habitat suitability models in ArcGIS for the ten bat species in western WA, locating the most ideal places for them to live. Her community partner, Nicole Jacobsen of Washington State DNR, says that Molly\u2019s work has already proven useful for proactively protecting the bats and the habitats that help them thrive. \u201cWe\u2019ve been using [Molly\u2019s] model and data for a lot of different reasons,\u201d she says. In particular, it is important \u201cto find areas that we\u2019re already protecting for other reasons and then make sure that they\u2019re already in the right places\u201d so that the largest numbers of bats benefit.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"potatoes\"><\/a> Finding unregistered sweet potatoes<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":8619} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/3-Ag-crops-18-smaller-300x201.jpg\" alt=\"sweet potatoes\" class=\"wp-image-8619\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>About half of the nation\u2019s sweet potatoes are grown in North Carolina, and all growers in the state who cultivate one acre or more pay dues to the nonprofit <a href=\"http:\/\/www.ncsweetpotatoes.com\">North Carolina Sweet Potato Commission<\/a>. At least, they usually do\u2026 The commission promotes the success of the crop and regularly sends agents afield to verify the acreage of growers. Needing a way to streamline their reporting and better identify potentially unregistered fields, they partnered with MGIST student <strong>Michael Chuang<\/strong> and <a href=\"http:\/\/www.prostarcorp.com\">ProStar Geocorp<\/a> to help locate and verify fields of sweet potatoes grown in the state.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Knowing that sweet potato plants can be identified from satellite data based on the unique pattern of light they reflect, Michael used weekly satellite imagery of North Carolina to find sweet potato signatures that agents can then inspect on the ground. Michael examined data for 39&nbsp;counties in the state and helped agents find&nbsp;almost 5,000&nbsp;acres of unregistered sweet potato fields. To facilitate inspections, he&nbsp;developed a mobile application that \u201chelps agents find unregistered fields more accurately and efficiently,\u201d he says. Easy to use and \u201clike Facebook with really powerful geospatial functions,\u201d the app allows retired farmers working on behalf of the commission to draw field boundaries&nbsp;on digital maps where they find previously unknown sweet potato fields, upload photos, and see crew updates in real time to avoid duplicating effort.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"voting\"><\/a> Seeking equality for early voting<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":8622} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/4-IMG_1079-297x300.png\" alt=\"Early voting sticker Wake County\" class=\"wp-image-8622\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>Early voting sites are meant to be convenient, one-stop shops for voters interested in casting their ballot before election day; making sure that they equitably serve all populations in a county is an important and complicated task. MGIST student <strong>Tony Fairfax<\/strong> partnered with the <a href=\"https:\/\/www.southerncoalition.org\">Southern Coalition for Social Justice<\/a> to determine how well residents in North Carolina of different races\/ethnicities are served by the locations of early voting sites. The model he developed uses census data to provide \u201cmetrics that can assist with strategic decisions,\u201d he says, by looking at how far different population groups reside from the nearest early voting site, the hours of operation of those sites, amounts of population served per site, and how many people per hour can be served. \u201cA county can actually view the impact of removing or [adding] early voting sites or changing hours, prior to implementation\u2013\u2013which can actually save them a lot of time, energy and possibly resources that are involved,\u201d Tony points out. \u201cThe metrics can assist with selection of a fair collection of early voting sites, which is of course the objective of what we\u2019re trying to do.\u201d Allison Riggs, a senior staff attorney with the coalition, and Tony\u2019s contact for the project, commented, \u201cWe\u2019re talking about revolutionizing how communities become part of this process. It\u2019s really critically important, and Tony\u2026did amazing work with this.\u201d<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"Habitat\"><\/a> Providing affordable housing in Wake County<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":8623} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/5-WEB.BuildABlock.8312-300x200.jpg\" alt=\"Habitat for Humanity Build-A-Block sign\" class=\"wp-image-8623\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>MGIST student<strong> Ashleigh Cline<\/strong> developed a web application that will help <a href=\"http:\/\/www.habitatwake.org\">Habitat for Humanity of Wake County<\/a> better understand their applicant pool and the low-income areas with greatest housing need. The project was coordinated by emeritus director of the Center for Geospatial Analytics <a href=\"https:\/\/cnr.ncsu.edu\/geospatial\/directory\/hugh-devine\">Hugh Devine<\/a>, who also mentored several <a href=\"https:\/\/caldwellfellows.ncsu.edu\">NC State Caldwell Fellows<\/a> working on a <a href=\"https:\/\/cnr.ncsu.edu\/geospatial\/news\/2017\/01\/04\/caldwell-fellows-use-gis-to-help-habitat-for-humanity\/\">service learning project<\/a> for Habitat for Humanity this semester. Habitat\u2019s goal, Ashleigh points out, is \u201cto build safe affordable homes for those in need of housing.\u201d Using data that the group supplied, Ashleigh organized and made spatial all of the applicant info, allowing Habitat staff to now view, for example, how many applicants live within one mile of current and\/or planned public transportation; they can also now use census data to examine household income by city or political district. All of these data are now accessible through interactive maps or user-customized graphs.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>\u201cThis is just the beginning for Habitat,\u201d Ashleigh explains. \u201cThis is the first time they\u2019re seeing their data in a geographic context and [are] able to truly interact with it. Now they have the capability to really see where housing needs lie in Wake County and get a deeper understanding about who\u2019s applying for housing\u2013\u2013what are the commonalities of [the applicants], what are the differences, what do they have access to, what do they not have access to? It\u2019s bringing a whole new dynamic to their service model.\u201d<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"NCNatlGuard\"><\/a> Serving the North Carolina National Guard<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":8624} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/6-Official_NCNG_Logo_-_250_x_250_mpix.jpg\" alt=\"NC National Guard logo\" class=\"wp-image-8624\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>MGIST students<strong> Robert Toomey<\/strong> and <strong>Sean Houng<\/strong> worked to develop a system that would allow the National Guard Joint Operations Headquarters to automatically track the real-time locations of their field personnel during emergency responses and even quickly receive requests for help. Says their National Guard contact, Todd Preddy, \u201cWhat we\u2019re trying to do is track a user\u2019s cell phone during an emergency event, like Hurricane Matthew that just came through, for the National Guard people on duty and our state partners\u201d\u2014partners such as the highway patrol, emergency management agencies, and firefighters. \u201cWe wanted something that would go across all platforms, because everybody has a different phone. And this is the first step down that path.\u201d Reflecting on his experience in the MGIST program, Robert, who works at the National Severe Storms Laboratory in Norman, Oklahoma, commented, \u201cGIS is so interesting to me because I can apply it to what I do. So, it\u2019s a win-win\u2026\u201d <strong>Stephanie Wendel<\/strong> also collaborated with the North Carolina National Guard to create a web application that allows personnel to easily track progress and needs during the management of construction projects. Says Todd, \u201cWe have plenty of uses lined up for this technology.\u201d<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph {\"align\":\"right\"} -->\n<p class=\"has-text-align-right\"><a href=\"#top\">Back to top<\/a><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:heading {\"level\":3} -->\n<h3><a id=\"more\"><\/a> And more!<\/h3>\n<!-- \/wp:heading -->\n\n<!-- wp:image {\"id\":8625} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/7-CAMPUS.earthday.7732-300x199.jpg\" alt=\"Electric and hybrid cars\" class=\"wp-image-8625\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p><strong>Ch\u00e9rie Southwick <\/strong>partnered with MGIST&nbsp;alum Kevin Dunlop,&nbsp;currently working for Prince William County, Virginia, to experiment with developing three-dimensional models for&nbsp;flooding scenarios using&nbsp;ArcGIS Pro. A pair of students, <strong>Jenna David<\/strong> and <strong>Laura Kay<\/strong>, partnered with the <a href=\"https:\/\/nccleantech.ncsu.edu\">North Carolina Clean Energy Technology Center<\/a> to create a web application that shows drivers where in North Carolina they might refuel their electric or compressed natural gas vehicle; users of the web application&nbsp;can also create routes with turn-by-turn directions, adding those refueling stations as stops. <strong>Pam Slater<\/strong> and <strong>Dana Hartley<\/strong> collaborated with the assistant curator of conservation and research at the North Carolina Zoo, mapping the habitats and movement patterns of critically endangered vultures in East Africa.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Some students even produced projects for the companies or agencies where they are currently employed. <strong>Seth Church<\/strong> works for the South Carolina Department of Health and Environmental Control; for his capstone project, he created a web application that students, reporters, and other community members can use to explore statewide public health statistics, even making their own customized reports and maps. <strong>John Burleson<\/strong> works for The Shopping Center Group, a retail-only real estate firm; he developed a web GIS platform that his company\u2019s brokers can access to add or retrieve information about current or future retail locations, without having to consult the company\u2019s GIS staff.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:image {\"id\":8626} -->\n<figure class=\"wp-block-image\"><img src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/12\/2017\/08\/8-OBJ.wheat_.0196-300x201.jpg\" alt=\"Raindrops on crops\" class=\"wp-image-8626\"\/><\/figure>\n<!-- \/wp:image -->\n\n<!-- wp:paragraph -->\n<p>Several students also connected with partners at NC State\u2019s College of Natural Resources or Center for Geospatial Analytics. <strong>Sudha Kumar<\/strong> worked with center research associate Okan Pala to develop a geospatial model for Jefferson County, KY, that could estimate demand on the county\u2019s water treatment plant. <strong>Jamie Dunbar<\/strong> partnered with silviculturist Elizabeth Snider of the Department of Forestry and Environmental Resources to monitor potential environmental impacts of recreational use of G.W. Hill Forest during fox hunts. <strong>Andrew Jones<\/strong> worked with research associate Cari Furiness of the Department of Forestry and Environmental Resources and the North Carolina Atmospheric Chemistry Consortium to develop a web app useful for visualizing the chemical composition of rainfall, particularly the deposition of nitrogen and sulfur from rain across the state through time.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p>Congratulations to all our graduating MGIST students on their success!<\/p>\n<!-- \/wp:paragraph -->"},"excerpt":{"rendered":"<p>Master\u2019s Capstone Projects Pair Service Learning and Geospatial Science The Center for Geospatial Analytics is celebrating this season the Fall 2016 graduation of 19 professional master\u2019s students in Geospatial Information&hellip;<\/p>\n","protected":false},"author":119,"featured_media":7293,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-post-header","ncst_dynamicHeaderData":"{\"showAuthor\":true,\"showDate\":true,\"showFeaturedVideo\":false,\"caption\":\"\"}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[5,10,6],"tags":[41,42],"class_list":["post-7287","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mgist","category-spotlight","category-student","tag-service-learning","tag-web-mapping"],"displayCategory":null,"acf":[],"_links":{"self":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/7287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/users\/119"}],"replies":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/comments?post=7287"}],"version-history":[{"count":4,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/7287\/revisions"}],"predecessor-version":[{"id":22651,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/7287\/revisions\/22651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media\/7293"}],"wp:attachment":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media?parent=7287"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/categories?post=7287"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/tags?post=7287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}