Spatial and Geostatistical Analysis

Geospatial Training Services implements GIS projects focused on spatial analysis and spatial statistical analysis.  Our spatial analysis services extend the basic set of discrete map features of points, lines and polygons to surfaces that represent continuous geographic space as a set of contiguous grid cells.  The consistency of this grid-based structuring provides a wealth of new analytical tools for characterizing “contextual spatial relationships”, such as effective distance, optimal paths, visual connectivity and micro-terrain analysis.

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 Geostatistical Toolbox), QGIS, CartoDB, Maptitude, R, Python, IDRISI, and others to perform analysis for natural resources, real estate, crime, health, and environmental applications.

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