Geospatial Training Services implements GIS projects focused on spatial analysis and spatial statistical analysis.
Spatial statistics is a set of exploratory techniques for describing and modeling spatial distributions, patterns, processes, and relationships. Although spatial statistics are similar to traditional statistics they also integrate spatial relationships into the calculations. In spatial statistics, proximity is important. Things that are closer together are more related.
Spatial statistics extends traditional statistics through the analysis of geographic data via techniques that describe the distribution of data (descriptive spatial statistics), analysis of spatial patterns of data (spatial pattern analysis), identification and measurement of spatial relationships (spatial regression), and the creation of surface layers through sampled data (spatial interpolation).
We use spatial analysis and geostatistical tools from ArcGIS Desktop (Spatial Analyst and Spatial Statistics Toolbox), QGIS, Carto, R, Python and others to perform analysis for natural resources, real estate, crime, health, and environmental applications.
Our spatial statistics capabilities include ordinary least squares regression, geographically weighted regression, hot spot analysis, outlier and cluster analysis, similarity search, grouping analysis, spatial autocorrelation, and more.
Recent webinars on this topic:
My book on this topic: Spatial Analytics in ArcGIS
Contact us at sales at geospatialtraining.com for more information on how we can assist you with your project.