The GIS Modules of Geostatistics for Mathematical Modeling of Spatial Distribution of Chemical Contaminants
| Main Author: | Lemenkova Polina |
|---|---|
| Format: | Proceeding |
| Bahasa: | rus |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/2308390 |
| ctrlnum |
2308390 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Lemenkova Polina</creator><date>2015-12-17</date><description>This paper analyses the results of the experimental testing of the ArcGIS spatial analysis module Spatial Analyst used for mapping chemical pollution of the water areas. The use of the Spatial Analyst is explaied by its functionality and flexibility of applications. Thus, it has a wide range of spatial modelling embedded tools as well as data analysis features. This enables to create, query, and analyse a set of raster data. The Spatial Analyst module includes such tools as surface interpolation, contour and field construction based on the concentration of pollutants at individual points, processes and analyses raster data and creates spatial distribution fields based on them. Current paper briefly reports the effectiveness of the Spatial Analyst ArcGIS application.</description><description>P. Lemenkova. "The GIS Modules of Geostatistics for Mathematical Modeling of Spatial Distribution of Chemical Contaminants". Russian. In: Basic and Applied Research in Technical Science. Proceedings of the Russian National Conference (Ufa State Petroleum Technological University UGNTU, Dec. 17–18, 2015). Ed. by R. R. Nasyrov. Vol. 2. Russia, Sterlitamak: UGNTU Press, 2015, pp. 236–237. isbn: 978-5-7831-1318-5. doi: 10.6084/m9.figshare.7210313.</description><identifier>https://zenodo.org/record/2308390</identifier><identifier>10.6084/m9.figshare.7210943</identifier><identifier>oai:zenodo.org:2308390</identifier><language>rus</language><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>GIS</subject><subject>mapping</subject><subject>geostatistics</subject><subject>data distribution</subject><subject>geospatial modelling</subject><subject>geography</subject><subject>ecology</subject><title>The GIS Modules of Geostatistics for Mathematical Modeling of Spatial Distribution of Chemical Contaminants</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>2308390</recordID></dc>
|
| language |
rus |
| format |
Journal:Proceeding Journal |
| author |
Lemenkova Polina |
| title |
The GIS Modules of Geostatistics for Mathematical Modeling of Spatial Distribution of Chemical Contaminants |
| publishDate |
2015 |
| topic |
GIS mapping geostatistics data distribution geospatial modelling geography ecology |
| url |
https://zenodo.org/record/2308390 |
| contents |
This paper analyses the results of the experimental testing of the ArcGIS spatial analysis module Spatial Analyst used for mapping chemical pollution of the water areas. The use of the Spatial Analyst is explaied by its functionality and flexibility of applications. Thus, it has a wide range of spatial modelling embedded tools as well as data analysis features. This enables to create, query, and analyse a set of raster data. The Spatial Analyst module includes such tools as surface interpolation, contour and field construction based on the concentration of pollutants at individual points, processes and analyses raster data and creates spatial distribution fields based on them. Current paper briefly reports the effectiveness of the Spatial Analyst ArcGIS application. P. Lemenkova. "The GIS Modules of Geostatistics for Mathematical Modeling of Spatial Distribution of Chemical Contaminants". Russian. In: Basic and Applied Research in Technical Science. Proceedings of the Russian National Conference (Ufa State Petroleum Technological University UGNTU, Dec. 17–18, 2015). Ed. by R. R. Nasyrov. Vol. 2. Russia, Sterlitamak: UGNTU Press, 2015, pp. 236–237. isbn: 978-5-7831-1318-5. doi: 10.6084/m9.figshare.7210313. |
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