{"id":9307,"date":"2017-12-13T16:26:39","date_gmt":"2017-12-13T21:26:39","guid":{"rendered":"https:\/\/cnr.ncsu.edu\/geospatial\/?page_id=9307"},"modified":"2026-02-12T12:48:06","modified_gmt":"2026-02-12T17:48:06","slug":"futures","status":"publish","type":"page","link":"https:\/\/cnr.ncsu.edu\/geospatial\/research\/futures\/","title":{"rendered":"FUTURES Urban Growth Model"},"content":{"rendered":"\n\n\n\n\n<h2 class=\"wp-block-heading\">What is FUTURES?<\/h2>\n\n\n\n<p><strong>FUTURES<\/strong> is the <strong>FUT<\/strong>ure <strong>U<\/strong>rban-<strong>R<\/strong>egional <strong>E<\/strong>nvironment <strong>S<\/strong>imulation and was developed by the Landscape Dynamics Group led by our Center&#8217;s director, Ross Meentemeyer. The simulation was designed specifically to address the regional-scale ecological and environmental impacts of urbanization and is one of the few land change models developed to explicitly capture the spatial structure of development. It can accommodate the input of a variety of datasets with different spatial extents and can be coupled to other models.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How do I use FUTURES?<\/h2>\n\n\n\n<p>Developers at the Center for Geospatial Analytics have made it possible to run FUTURES using open source GRASS GIS on Linux, Windows and Mac OS. Use the materials below to get started.<\/p>\n\n\n<div class=\"is-text wp-block-ncst-buttons\">\n    \n<div class=\"wp-block-ncst-button\">\n      <a\n        class=\"ncst-block__button-link btn\"\n        href=\"https:\/\/mybinder.org\/v2\/gh\/ncsu-landscape-dynamics\/futures-model-intro-notebook\/main?urlpath=lab\/tree\/futures_triangle.ipynb\"\n        data-ncst-lightbox=\"false\"\n                      >\n                  <span class=\"text\">Try FUTURES in a Jupyter Notebook<\/span><span class=\"arrow-indicator\"><svg class=\"wolficon wolficon-arrow-right-bold\" role=\"img\"  aria-hidden=\"true\">\n\t\t\t\n\t\t\t<use xlink:href=\"#wolficon-arrow-right-bold\">\n\t\t<\/svg><\/span>\n              <\/a>\n    <\/div>\n  \n\n<div class=\"wp-block-ncst-button\">\n      <a\n        class=\"ncst-block__button-link btn\"\n        href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES#installation\"\n        data-ncst-lightbox=\"false\"\n                      >\n                  <span class=\"text\">Install FUTURES<\/span><span class=\"arrow-indicator\"><svg class=\"wolficon wolficon-arrow-right-bold\" role=\"img\"  aria-hidden=\"true\">\n\t\t\t\n\t\t\t<use xlink:href=\"#wolficon-arrow-right-bold\">\n\t\t<\/svg><\/span>\n              <\/a>\n    <\/div>\n  \n\n  <\/div>\n\n\n\n<p><a href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES#how-to-cite\" target=\"_blank\" rel=\"noreferrer noopener\">How to cite the FUTURES model in your work<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Resources<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Online manual<\/strong> detailing r.futures submodels, datasets, and supplementary information for implementing FUTURES in GRASS GIS: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/grass.osgeo.org\/grass-stable\/manuals\/addons\/r.futures.html\" target=\"_blank\" rel=\"noreferrer noopener\">Read the manual<\/a><\/span><\/li>\n\n\n\n<li><strong>GitHub repository<\/strong> for FUTURES: <span style=\"text-decoration: underline;\"><a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\" target=\"_blank\">Check the development<\/a><\/span><\/li>\n\n\n\n<li><strong>FUTURES release<\/strong> postings: <span style=\"text-decoration: underline;\"><a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\/releases\/\" target=\"_blank\">See the latest version<\/a><\/span><\/li>\n\n\n\n<li><strong>Data releases<\/strong> provide projections of future patterns of urbanization:\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.sciencebase.gov\/catalog\/item\/63f50297d34efa0476b04cf7\" target=\"_blank\" rel=\"noreferrer noopener\">FUTURES v2<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.sciencebase.gov\/catalog\/item\/6463b6dbd34ec179a83d2ae5\" target=\"_blank\" rel=\"noreferrer noopener\">FUTURES v3<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Online forum<\/strong> for announcements, discussion and posting questions: <a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\/discussions\" target=\"_blank\">Join GitHub Discussions<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Tutorials<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>FUTURES tutorial<\/strong> on GRASS Wiki: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/grasswiki.osgeo.org\/wiki\/FUTURES_tutorial\" target=\"_blank\" rel=\"noreferrer noopener\">Step-by-step instructions and datasets<\/a><\/span><\/li>\n\n\n\n<li><strong>US-IALE 2019 workshop <\/strong><i>FUTURES land-change modeling for evaluating innovative conservation scenarios<\/i> held in Fort Collins, Colorado, April 9, 2019: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/grasswiki.osgeo.org\/wiki\/FUTURES_land-change_modeling_for_evaluating_innovative_conservation_scenarios\" target=\"_blank\" rel=\"noreferrer noopener\">Step-by-step instructions and datasets<\/a><\/span><\/li>\n\n\n\n<li><strong>US-IALE 2016 workshop <\/strong><i>Spatio-temporal Modeling with Open Source GIS: Application to Urban Growth Simulation using FUTURES<\/i> held in Asheville April 3, 2016: <span style=\"text-decoration: underline;\"><a href=\"https:\/\/grasswiki.osgeo.org\/wiki\/Workshop_on_urban_growth_modeling_with_FUTURES\" target=\"_blank\" rel=\"noreferrer noopener\">Step-by-step instructions and datasets<\/a><\/span><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Who do I contact for more information?<\/h2>\n\n\n\n<p><strong>Have a modeling question?<\/strong> Ask it in the <a href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\/discussions\" target=\"_blank\" rel=\"noreferrer noopener\">online forum<\/a>.<\/p>\n\n\n\n<p><strong>Encountered a problem?<\/strong> First, check the <a href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\/blob\/master\/FAQs.md#futures-faqs\" target=\"_blank\" rel=\"noreferrer noopener\">FAQs<\/a>; if you can&#8217;t find your solution there, <a href=\"https:\/\/github.com\/ncsu-landscape-dynamics\/GRASS_FUTURES\" target=\"_blank\" rel=\"noreferrer noopener\">report the issue<\/a> on GitHub.<\/p>\n\n\n\n<p><strong>Want to collaborate with our developer team?<\/strong> Contact Center for Geospatial Analytics executive director <a href=\"https:\/\/cnr.ncsu.edu\/geospatial\/directory\/ross-meentemeyer\" target=\"_blank\" rel=\"noreferrer noopener\">Ross Meentemeyer<\/a>, who oversees FUTURES research at the center.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What can FUTURES do?<\/h2>\n\n\n\n<p>The 2013 publication introducing FUTURES describes how the simulation works and presented the first case study for its use:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Meentemeyer, R.K, W. Tang., M.A. Dorning, J.B. Vogler, N.J. Cuniffe, and D.A. Shoemaker. 2013.&nbsp;<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/00045608.2012.707591\" target=\"_blank\" rel=\"noreferrer noopener\">FUTURES: multilevel simulations of emerging urban\u2013rural landscape structure using a stochastic patch-growing algorithm<\/a><\/span>. Annals of the Association of American Geographers 103(4):785-807.<\/em><\/li>\n<\/ul>\n\n\n\n<p>This publication has been cited dozens of times, and the model has been used in a variety of applications.<\/p>\n\n\n\n<p>In 2016, we integrated FUTURES with open source GRASS GIS and described the advantages of this new approach:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><i>Petrasova, A., V. Petras, D. Van Berkel, B.A. Harmon, H. Mitasova, and R.K. Meentemeyer. 2016. <\/i><span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.int-arch-photogramm-remote-sens-spatial-inf-sci.net\/XLI-B7\/953\/2016\/isprs-archives-XLI-B7-953-2016.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"><i>Open Source Approach to Urban Growth Simulation<\/i><\/a><\/span><i>. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7:953-959.<\/i><\/li>\n<\/ul>\n\n\n\n<p>In 2017, we compared FUTURES with several other land change models to examine tradeoffs in quantity, allocation and configuration accuracy:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Pickard, B., J. Gray, and R. Meentemeyer. 2017. <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.mdpi.com\/2073-445X\/6\/3\/52\" target=\"_blank\" rel=\"noreferrer noopener\">Comparing quantity, allocation and configuration accuracy of multiple land change models<\/a><\/span>. Land 6(3):52\u201372.<\/em><\/li>\n<\/ul>\n\n\n\n<p>In 2019, we made new advancements to FUTURES that harness parallel computing to project urban growth and landscape change at fine resolution over large extents (multi-state, regional):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Van Berkel, D., A. Shashidharan, R.S. Mordecai, R. Vatsuvai, A. Petrasova, V. Petras, H. Mitasova, J.B. Vogler, and R.K. Meentemeyer. 2019.&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/land8100144\" target=\"_blank\" rel=\"noreferrer noopener\">Projecting Urbanization and Landscape Change at Large Scale Using the FUTURES Model<\/a>. Land 8(10), 144;&nbsp;https:\/\/doi.org\/10.3390\/land8100144&nbsp;&nbsp;<\/em><\/li>\n<\/ul>\n\n\n\n<p>At the Center for Geospatial Analytics, use of FUTURES has mainly focused on research concerning conservation and ecosystem services. For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Dorning, M.A., J. Koch, D.A. Shoemaker, and R.K. Meentemeyer. 2015.&nbsp;<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0169204614002710\" target=\"_blank\" rel=\"noreferrer noopener\">Simulating urbanization scenarios reveals tradeoffs between conservation planning strategies<\/a><\/span>. Landscape and Urban Planning 136:28-39.<\/em><\/li>\n\n\n\n<li><em>Pickard, B.R., D. Van Berkel, A. Petrasova, and R.K. Meentemeyer. 2017. <span style=\"text-decoration: underline;\"><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10980-016-0465-8\" target=\"_blank\" rel=\"noreferrer noopener\">Forecasts of urbanization scenarios reveal trade-offs between landscape change and ecosystem services<\/a><\/span>. Landscape Ecology 32:617-634.<\/em><\/li>\n\n\n\n<li><em>Shoemaker, D.A., T.K. Bendor, and R.K. Meentemeyer. 2019. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0198971518300310\" target=\"_blank\" rel=\"noreferrer noopener\"><span style=\"text-decoration: underline;\">Anticipating trade-offs between urban patterns and ecosystem service production: Scenario analyses of sprawl alternatives for a rapidly urbanizing region<\/span><\/a>. Computers, Environment and Urban Systems 74:114-125.<\/em><\/li>\n\n\n\n<li><em>Sanchez, G.M., A. Terando, J.W. Smith, A.M. Garcia, C.R. Wagner, and R.K. Meentemeyer. 2020. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2020.139050\" target=\"_blank\" rel=\"noreferrer noopener\"><span style=\"text-decoration: underline;\">Forecasting water demand across a rapidly urbanizing region<\/span><\/a>. Science of the Total Environment 730: 139050.<\/em><\/li>\n<\/ul>\n\n\n\n<p><strong>The development of a new CLIMATE FORCING submodel for FUTURES 3.0<\/strong> allowed accounting for human adaptation to flood risk when modeling future development, offering a more realistic assessment of future flood risk:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Sanchez, G.M., A. Petrasova, A., M.M. Skrip, E.L. Collins, M.A. Lawrimore, J.B. Vogler, A. Terando, J. Vukomanovic, H. Mitasova, and R.K. Meentemeyer. 2023.&nbsp;<a href=\"https:\/\/doi.org\/10.1038\/s41598-023-46195-9\" target=\"_blank\" rel=\"noreferrer noopener\">Spatially interactive modeling of land change identifies location-specific adaptations most likely to lower future flood risk<\/a>.&nbsp;Sci Rep&nbsp;13, 18869.<\/em><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Computational Steering of FUTURES<\/h3>\n\n\n\n<p>An award-winning method to interact with and steer geospatial models like FUTURES in real time has been developed by doctoral student Ashwin Shashidharan (jointly advised by Raju Vatsavai, the center\u2019s associate director of spatial computing and technology, and center director Ross Meentemeyer). His computational steering techniques allow users to pause, play, rewind, and add new information to a geosimulation as the model is running. (Note that this experimental code is not integrated in the GRASS GIS implementation of FUTURES.)<\/p>\n\n\n\n<p>Several publications introduce methods for computational steering with FUTURES using one computer or&nbsp;using distributed cores in a High Performance Computing (HPC) framework.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Shashidharan, A. 2016. <span style=\"text-decoration: underline;\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3100248&amp;preflayout=tabs\" target=\"_blank\" rel=\"noreferrer noopener\">Computational steering for geosimulations<\/a><\/span>. SIGSPATIAL Special 8(3):7\u20138.<\/em><\/li>\n\n\n\n<li><em>Shashidharan, A., R.R. Vatsavai, A. Ashish, and R.K. Meentemeyer. 2017. <span style=\"text-decoration: underline;\"><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3140049\" target=\"_blank\" rel=\"noreferrer noopener\">tFUTURES: Computational steering for geosimulations<\/a><\/span>. SIGSPATIAL &#8217;17 Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.<\/em><\/li>\n\n\n\n<li><i>Shashidharan, A., R.R. Vatsavai, D.B. Van Berkel, and R.K. Meentemeyer. 2018. <\/i><span style=\"text-decoration: underline;\"><a href=\"https:\/\/pdfs.semanticscholar.org\/eb35\/a1e0795a5c541fc3b9e9c9cec62359101cdf.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"><i>FUTURES-AMR\u202f: Towards an Adaptive Mesh Refinement Framework for Geosimulations<\/i><\/a><\/span><i>. In GIScience (pp. 1\u201315).<\/i><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Integration with Agent-Based Models<\/h3>\n\n\n\n<p>New work recently introduced a hybrid agent-based modeling (ABM) \u2013 cellular automata (CA) modeling approach that integrates an ABM with FUTURES. The approach was developed to analyze dynamic feedbacks between landowners&#8217; decisions to sell their land to developers and patterns of landscape fragmentation (note that this experimental code is not integrated in the GRASS GIS implementation of FUTURES):<\/p>\n\n\n\n<p><em>Koch, K., M.A. Dorning, D.B. Van Berkel, S.M. Beck, G.M. Sanchez, A. Shashidharan, L.S. Smart, Q. Zhang, J.W. Smith, and R.K. Meentemeyer. 2019. <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0169204618310594\" target=\"_blank\" rel=\"noreferrer noopener\">Modeling landowner interactions and development patterns at the urban fringe<\/a><\/span>.&nbsp;Landscape and Urban Planning 182:101-113.<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Interaction with Tangible User Interfaces<\/h3>\n\n\n\n<p>Researchers at the Center for Geospatial Analytics have also integrated FUTURES with the center&#8217;s signature tangible user interface system, <a href=\"https:\/\/tangible-landscape.github.io\/\">Tangible Landscape<\/a>. The videos below demonstrate some of the system&#8217;s uses for interacting with FUTURES and visualizing outputs.<\/p>\n\n\n<div class=\"ncst-yt-player in-view wp-block-ncst-video-image\">\n  <figure class=\"video-image__video\">\n    <div class=\"video-image__wrapper\">\n      <div class=\"video-image__video-container\">\n        <div class=\"ncst-yt-player-target\"><\/div>\n      <\/div>\n      <a href=\"https:\/\/youtu.be\/SeBoGwSqmRM\" class=\"video-image__overlay ncst-yt-player-trigger\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"801\" height=\"431\" \n          class=\"video-image__img wp-image-11372\" \n          alt=\"Screenshot of YouTube video\" \n          src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM.png\" \n          style=\"aspect-ratio:16\/9;object-fit:cover;object-position:center center\"\n srcset=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM.png 801w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-300x161.png 300w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-768x413.png 768w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-460x248.png 460w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-376x202.png 376w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-752x405.png 752w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-345x186.png 345w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-690x371.png 690w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-783x421.png 783w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-720x387.png 720w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-600x323.png 600w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-555x299.png 555w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-360x194.png 360w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-220x118.png 220w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-440x237.png 440w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-659x355.png 659w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-500x269.png 500w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-410x221.png 410w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-285x153.png 285w, https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.24-AM-570x307.png 570w\" sizes=\"auto, (max-width: 801px) 100vw, 801px\" \/>\n        <span class=\"play-indicator\">\n          <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 314 384\">\n            <title>Play Video<\/title>\n            <path d=\"M0,0,314,192.51,0,384Z\" \/>\n          <\/svg>\n        <\/span>\n      <\/a>\n    <\/div>\n          <figcaption class=\"video-image__caption\">Tangible Landscape: Urbanization with FUTURES<\/figcaption>\n      <\/figure>\n<\/div>\n\n\n<div class=\"ncst-yt-player in-view wp-block-ncst-video-image\">\n  <figure class=\"video-image__video\">\n    <div class=\"video-image__wrapper\">\n      <div class=\"video-image__video-container\">\n        <div class=\"ncst-yt-player-target\"><\/div>\n      <\/div>\n      <a href=\"https:\/\/youtu.be\/oFILb0En258\" class=\"video-image__overlay ncst-yt-player-trigger\">\n        <img loading=\"lazy\" decoding=\"async\" width=\"802\" height=\"450\" \n          class=\"video-image__img wp-image-11373\" \n          alt=\"Screenshot of YouTube video\" \n          src=\"https:\/\/cnr.ncsu.edu\/geospatial\/wp-content\/uploads\/sites\/22\/2019\/04\/Screen-Shot-2019-04-16-at-11.22.58-AM.png\" \n          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<span class=\"play-indicator\">\n          <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 314 384\">\n            <title>Play Video<\/title>\n            <path d=\"M0,0,314,192.51,0,384Z\" \/>\n          <\/svg>\n        <\/span>\n      <\/a>\n    <\/div>\n          <figcaption class=\"video-image__caption\">FUTURES Coupling with Tangible Landscape and Immersive Virtual Environments<\/figcaption>\n      <\/figure>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>What is FUTURES? FUTURES is the FUTure Urban-Regional Environment Simulation and was developed by the Landscape Dynamics Group led by our Center&#8217;s director, Ross Meentemeyer. The simulation was designed specifically&hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":11632,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{\"pageIntro\":\"FUTURES is an open source urban growth model specifically designed to capture the spatial structure of development. 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