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Esri inc arcgis version 10.5 with spatial analyst
Arcgis Version 10.5 With Spatial Analyst, supplied by Esri inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spatial+analyst/arcgis+version+10+5+with+spatial+analyst/pmc12162816-183-9-11
Average 90 stars, based on 1 article reviews
arcgis version 10.5 with spatial analyst - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Placer mining along the Fraser River, British Columbia: The geomorphic impact
Article Snippet: Survey data were plotted and analyzed in ArcMap® v. 9.3 to determine the volume of excavated material utilizing the 3D Analyst®, Geostatistical Analyst®, and Spatial Analyst® extensions (ESRI, 2008), and the TIN Editor Toolbar (ESRI, 2010).

Article Title: Soil greenhouse gas fluxes in tropical mangrove forests and in land uses on deforested mangrove lands
Article Snippet: Mangrove forests are important carbon sinks in the tropics, yet tropical mangrove deforestation and land use conversion still persists.. Reporting of greenhouse gas (GHG) emissions from natural and anthropogenic sources in wetlands are important in regional and national emissions inventories.. However, very few studies have been conducted to measure on the GHG fluxes in coastal wetlands, particularly in mangrove forest and non-forest land uses in deforested mangroves.

Article Title: Habitat-Mediated Dive Behavior in Free-Ranging Grey Seals
Article Snippet: We used Spatial Analyst to extract values for bathymetry and sediment type to each dive in ArcMap 10 (ESRI).

Article Title: A geostatistical approach to spatial density distributions of sika deer (Cervus nippon)
Article Snippet: Sika deer (Cervus nippon) cause serious damage to trees in Japanese forests.. Browsing, bark stripping, and tree abrasion with antlers account for 50% of total wildlife damage over the past decade.. The extent of forest damage depends on deer population density.

Article Title: Modeling the combined influence of host dispersal and waterborne fate and transport on pathogen spread in complex landscapes
Article Snippet: Locational data were georectified to the Universal Transverse Mercator (UTM) zone 48N projection, 1984 datum, and geospatial modeling was done using Spatial Analyst in ArcGIS 9.3 ( ESRI 2008 ).

Article Title: Landscape-scale spatial dynamics of Riptortus pedestris (Hemiptera: Alydidae): Implications for areawide management
Article Snippet: Article history: Received 4 April 2016 Accepted 28 August 2016 Available online 31 August 2016 The bean bug, Riptortus pedestris (Fabricius) (Hemiptera: Alydidae) is highly mobile and has a wide host range, making field-by-field control difficult and inefficient.. We conducted a 3-year spatial study to determine the potential for areawidemanagement of R. pedestrisby investigating their landscape-level population dynamics, characterizing the spatial distribution patterns of R. pedestris, and describing its seasonal movement in a landscape.. The study site covered ca.

Software:

Article Title: Application of Geographic Modeling Techniques to Quantify Spatial Access to Health Services Before and After an Acute Cardiac Event
Article Snippet: .. The National Association of Testing Authorities’ data set was used to identify pathology services.37 Cardiac rehabilitation programs were acquired from the Australian Cardiovascular Health and Rehabilitation Association.38 To differentiate urban from nonurban areas for modeling travel speeds, ABS data on urban center locations were extracted from the ABS Census area database.39 The GIS software applications used for this project were Esri Arc Map version 9.3.1 and Spatial Analyst (Esri 2009, Redlands, CA).34 The Cardiac ARIA is presented as a 2-part numeric/alphabetic categorization. ..

Article Title: A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system.
Article Snippet: .. For monitoring purposes, spatio-temporal models are currently used for the prediction of snail habitats and S. japonicum prevalence, relying on spatial statistics to confirm high-risk areas, identified and located utilizing specific ArcGIS tools such as the “Spatial Analyst” (http://www.esri.com/software/arcgis/extensions/spatialanalyst/index.html), the “Geostatistical Analyst” (http://www.esri.com/software/arcgis/extensions/geostatistical/index.html) or R software (http: //www.r-project.org/). ..



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