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SpatiaLite is a spatial extension to SQLite, providing vector geodatabase functionality. It is similar to PostGIS, Oracle Spatial, and SQL Server with spatial extensions, although SQLite/SpatiaLite aren't based on client-server architecture: they adopt a simpler personal architecture. i.e. the whole SQL engine is directly embedded within the application itself: a complete database simply is an ...
CRAN site for Analysis of Spatial Data, R-Forge site: Analysis Full integration of spatial data analysis tools with the R: classes for spatial data; handling spatial data; reading and writing spatial data; point pattern analysis; geostatistics; disease mapping and areal data analysis; spatial regression and ecological analysis. R GPL-2: Google ...
The Odyssey project's aim was to produce a vector GIS that provided spatial analysis of many different forms within a single system. As of 1980, in addition to early Odyssey modules, the Laboratory sold the following programs for display and analysis of spatial data [11] ASPEX - 3d data perspectives; CALFORM - shaded vector maps;
QGIS is a geographic information system (GIS) software that is free and open-source. [2] QGIS supports Windows, macOS, and Linux. [3] It supports viewing, editing, printing, and analysis of geospatial data in a range of data formats.
The concept of a spatial weight is used in spatial analysis to describe neighbor relations between regions on a map. [1] If location i {\displaystyle i} is a neighbor of location j {\displaystyle j} then w i j ≠ 0 {\displaystyle w_{ij}\neq 0} otherwise w i j = 0 {\displaystyle w_{ij}=0} .
When general-purpose GIS software was developed in the 1970s and early 1980s, including programs from academic labs such as the Harvard Laboratory for Computer Graphics and Spatial Analysis, government agencies (e.g., the Map Overlay and Statistical System (MOSS) developed by the U.S. Fish & Wildlife Service and Bureau of Land Management), and ...
Chapter 6 concerns the types of data to be visualized, and the types of visualizations that can be made for them. Chapter 7 concerns spatial hierarchies and central place theory, while chapter 8 covers the analysis of spatial distributions in terms of their covariance. Finally, chapter 10 covers network and non-Euclidean data. [1] [3]
ArangoDB – Builtin features available for Spatial data management, allowing geospatial queries. SpatiaLite – Spatial extensions for the open source SQLite database, allowing geospatial queries. TerraLib – Provides advanced functions for GIS analysis. OrientDB – Builtin features available for Spatial data management, allowing geospatial ...