A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations
A novel geospatial tool box named Geospatial Simulation (GeoSim) has been developed, which can be used to manage point-based model simulations at multiple locations using geospatial data within a geographic information system (GIS). The objectives of this paper were to describe GeoSim and demonstrat...
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description | A novel geospatial tool box named Geospatial Simulation (GeoSim) has been developed, which can be used to manage point-based model simulations at multiple locations using geospatial data within a geographic information system (GIS). The objectives of this paper were to describe GeoSim and demonstrate its use. GeoSim has been developed as a plug-in for Quantum GIS, and both of these software programs are open-source and freely available. An important feature of GeoSim is its model-independent nature, meaning any point-based simulation model that uses ASCII files for input and output can be managed spatially. GeoSim facilitates the transfer of geospatial data from the GIS database to the model input files and from the model output files back to the GIS database. GeoSim presently includes six software tools, each with a graphical user interface. A case study demonstrates the use of GeoSim for processing geospatial data layers at a field site, conducting spatial model simulations, and optimizing model parameters for site-specific conditions. Two cropping system models, AquaCrop and the DSSAT Cropping System Model, were implemented to simulate seed cotton yield in response to irrigation management, nitrogen management, and soil texture variability for a 14 ha study area near Lamesa, Texas. Geoprocessing tools within GeoSim were able to summarize 5592 data points within 405 polygon features in 3.8 s. Simulation tools were able to swap 33,316 and 44,550 parameters values to complete 405 spatial simulations with the AquaCrop and DSSAT models in 112 s and 398 s, respectively. These results demonstrate the utility of GeoSim for summarizing large geospatial data sets and transferring the data to the file formats of multiple models. Simulation duration was increased as compared to stand-alone model simulations without parameter swapping, which may be problematic for applications requiring large numbers of simulations. The flexible design of GeoSim is intended to support spatial modeling exercises for a variety of models and environmental applications.
•Geospatial Simulation is a Quantum GIS plug-in that facilitates spatial modeling.•The software is open-source and freely available for download and use.•The software can be implemented with any point-based environmental model.•Tools facilitate geospatial data processing, model simulation and optimization.•A case study demonstrates the main features and advantages of the software. |
doi_str_mv | 10.1016/j.envsoft.2013.09.002 |
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•Geospatial Simulation is a Quantum GIS plug-in that facilitates spatial modeling.•The software is open-source and freely available for download and use.•The software can be implemented with any point-based environmental model.•Tools facilitate geospatial data processing, model simulation and optimization.•A case study demonstrates the main features and advantages of the software.</description><identifier>ISSN: 1364-8152</identifier><identifier>EISSN: 1873-6726</identifier><identifier>DOI: 10.1016/j.envsoft.2013.09.002</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Amphibia. Reptilia ; Animal, plant and microbial ecology ; Biological and medical sciences ; case studies ; computer software ; Cotton ; crop yield ; cropping systems ; data collection ; environmental models ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; geographic information systems ; geospatial data processing ; GIS ; irrigation management ; Methods and techniques (sampling, tagging, trapping, modelling...) ; nitrogen ; Plug-in ; Python ; Quantum ; Simulation ; simulation models ; soil texture ; Spatial ; spatial data ; Texas ; user interface ; Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution ; Yield</subject><ispartof>Environmental modelling & software : with environment data news, 2013-12, Vol.50, p.25-36</ispartof><rights>2013</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-ada8333681a7a226ff7a5d2f069fc8bc8cc9183713a2615d2512e5f909ce690a3</citedby><cites>FETCH-LOGICAL-c396t-ada8333681a7a226ff7a5d2f069fc8bc8cc9183713a2615d2512e5f909ce690a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S136481521300193X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28024661$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Thorp, K.R.</creatorcontrib><creatorcontrib>Bronson, K.F.</creatorcontrib><title>A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations</title><title>Environmental modelling & software : with environment data news</title><description>A novel geospatial tool box named Geospatial Simulation (GeoSim) has been developed, which can be used to manage point-based model simulations at multiple locations using geospatial data within a geographic information system (GIS). The objectives of this paper were to describe GeoSim and demonstrate its use. GeoSim has been developed as a plug-in for Quantum GIS, and both of these software programs are open-source and freely available. An important feature of GeoSim is its model-independent nature, meaning any point-based simulation model that uses ASCII files for input and output can be managed spatially. GeoSim facilitates the transfer of geospatial data from the GIS database to the model input files and from the model output files back to the GIS database. GeoSim presently includes six software tools, each with a graphical user interface. A case study demonstrates the use of GeoSim for processing geospatial data layers at a field site, conducting spatial model simulations, and optimizing model parameters for site-specific conditions. Two cropping system models, AquaCrop and the DSSAT Cropping System Model, were implemented to simulate seed cotton yield in response to irrigation management, nitrogen management, and soil texture variability for a 14 ha study area near Lamesa, Texas. Geoprocessing tools within GeoSim were able to summarize 5592 data points within 405 polygon features in 3.8 s. Simulation tools were able to swap 33,316 and 44,550 parameters values to complete 405 spatial simulations with the AquaCrop and DSSAT models in 112 s and 398 s, respectively. These results demonstrate the utility of GeoSim for summarizing large geospatial data sets and transferring the data to the file formats of multiple models. Simulation duration was increased as compared to stand-alone model simulations without parameter swapping, which may be problematic for applications requiring large numbers of simulations. The flexible design of GeoSim is intended to support spatial modeling exercises for a variety of models and environmental applications.
•Geospatial Simulation is a Quantum GIS plug-in that facilitates spatial modeling.•The software is open-source and freely available for download and use.•The software can be implemented with any point-based environmental model.•Tools facilitate geospatial data processing, model simulation and optimization.•A case study demonstrates the main features and advantages of the software.</description><subject>Amphibia. Reptilia</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>case studies</subject><subject>computer software</subject><subject>Cotton</subject><subject>crop yield</subject><subject>cropping systems</subject><subject>data collection</subject><subject>environmental models</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>geographic information systems</subject><subject>geospatial data processing</subject><subject>GIS</subject><subject>irrigation management</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>nitrogen</subject><subject>Plug-in</subject><subject>Python</subject><subject>Quantum</subject><subject>Simulation</subject><subject>simulation models</subject><subject>soil texture</subject><subject>Spatial</subject><subject>spatial data</subject><subject>Texas</subject><subject>user interface</subject><subject>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</subject><subject>Yield</subject><issn>1364-8152</issn><issn>1873-6726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkM2KFTEQhRtRcBx9BDEbwU23-elOJysZhvEHBlzorENNunLJJZ20Se6AL-Bzm7Gvbt0kJ9R3TorTda8ZHRhl8v1xwPhQkqsDp0wMVA-U8ifdBVOz6OXM5dOmhRx7xSb-vHtRypFS2vR40f26ImtaMPQ-LrhhO2IlqYm-pFO2SA6YygbVQyA1pUBcymSFCAcfD2RLPtb-HgoupO3gc4prC2jsn1BS_HoKzZxiIVBJe1S_BSR_E0Oy-_Rl98xBKPjqfF92dx9vvl9_7m-_fvpyfXXbW6Fl7WEBJYSQisEMnEvnZpgW7qjUzqp7q6zVTImZCeCStcnEOE5OU21Ragrisnu35245_ThhqWb1xWIIEDGdimFSj-Os6Dw3dNpRm1MpGZ3Zsl8h_zSMmsfezdGcezePvRuqTeu9-d6ev4BiIbgM0fryz8wV5aOUrHFvds5BMnDIjbn71oKmFkK51KoRH3YCWyMPHrMp1mO0uPiMtpol-f_s8hsAbahg</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Thorp, K.R.</creator><creator>Bronson, K.F.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20131201</creationdate><title>A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations</title><author>Thorp, K.R. ; Bronson, K.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-ada8333681a7a226ff7a5d2f069fc8bc8cc9183713a2615d2512e5f909ce690a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Amphibia. Reptilia</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>case studies</topic><topic>computer software</topic><topic>Cotton</topic><topic>crop yield</topic><topic>cropping systems</topic><topic>data collection</topic><topic>environmental models</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>geographic information systems</topic><topic>geospatial data processing</topic><topic>GIS</topic><topic>irrigation management</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>nitrogen</topic><topic>Plug-in</topic><topic>Python</topic><topic>Quantum</topic><topic>Simulation</topic><topic>simulation models</topic><topic>soil texture</topic><topic>Spatial</topic><topic>spatial data</topic><topic>Texas</topic><topic>user interface</topic><topic>Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution</topic><topic>Yield</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thorp, K.R.</creatorcontrib><creatorcontrib>Bronson, K.F.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental modelling & software : with environment data news</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thorp, K.R.</au><au>Bronson, K.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations</atitle><jtitle>Environmental modelling & software : with environment data news</jtitle><date>2013-12-01</date><risdate>2013</risdate><volume>50</volume><spage>25</spage><epage>36</epage><pages>25-36</pages><issn>1364-8152</issn><eissn>1873-6726</eissn><abstract>A novel geospatial tool box named Geospatial Simulation (GeoSim) has been developed, which can be used to manage point-based model simulations at multiple locations using geospatial data within a geographic information system (GIS). The objectives of this paper were to describe GeoSim and demonstrate its use. GeoSim has been developed as a plug-in for Quantum GIS, and both of these software programs are open-source and freely available. An important feature of GeoSim is its model-independent nature, meaning any point-based simulation model that uses ASCII files for input and output can be managed spatially. GeoSim facilitates the transfer of geospatial data from the GIS database to the model input files and from the model output files back to the GIS database. GeoSim presently includes six software tools, each with a graphical user interface. A case study demonstrates the use of GeoSim for processing geospatial data layers at a field site, conducting spatial model simulations, and optimizing model parameters for site-specific conditions. Two cropping system models, AquaCrop and the DSSAT Cropping System Model, were implemented to simulate seed cotton yield in response to irrigation management, nitrogen management, and soil texture variability for a 14 ha study area near Lamesa, Texas. Geoprocessing tools within GeoSim were able to summarize 5592 data points within 405 polygon features in 3.8 s. Simulation tools were able to swap 33,316 and 44,550 parameters values to complete 405 spatial simulations with the AquaCrop and DSSAT models in 112 s and 398 s, respectively. These results demonstrate the utility of GeoSim for summarizing large geospatial data sets and transferring the data to the file formats of multiple models. Simulation duration was increased as compared to stand-alone model simulations without parameter swapping, which may be problematic for applications requiring large numbers of simulations. The flexible design of GeoSim is intended to support spatial modeling exercises for a variety of models and environmental applications.
•Geospatial Simulation is a Quantum GIS plug-in that facilitates spatial modeling.•The software is open-source and freely available for download and use.•The software can be implemented with any point-based environmental model.•Tools facilitate geospatial data processing, model simulation and optimization.•A case study demonstrates the main features and advantages of the software.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.envsoft.2013.09.002</doi><tpages>12</tpages></addata></record> |
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subjects | Amphibia. Reptilia Animal, plant and microbial ecology Biological and medical sciences case studies computer software Cotton crop yield cropping systems data collection environmental models Fundamental and applied biological sciences. Psychology General aspects. Techniques geographic information systems geospatial data processing GIS irrigation management Methods and techniques (sampling, tagging, trapping, modelling...) nitrogen Plug-in Python Quantum Simulation simulation models soil texture Spatial spatial data Texas user interface Vertebrates: general zoology, morphology, phylogeny, systematics, cytogenetics, geographical distribution Yield |
title | A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations |
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