spatial analysis

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spatial analysis

(Data West Research Agency definition: see GIS glossary.) Analytical techniques to determine the spatial distribution of a variable, the relationship between the spatial distribution of variables, and the association of the variables of an area. Spatial analysis is often referred to as modeling. It refers to the analysis of phenomena distributed in space and having physical dimensions (the location of, proximity to, or orientation of objects with respect to one another; relating to an area of a map as in spatial information and spatial analysis; referenced or relating to a specific location on the Earth's surface).

Spatial analysis is the process of extracting or creating new information about a set of geographic features to perform routine examination, assessment, evaluation, analysis or modeling of data in a geographic area based on pre-established and computerized criteria and standards. Spatial analysis is a process of modeling, examining, and interpreting model results useful for evaluating suitability and capability, for estimating and predicting, and for interpreting and understanding.

In GIS, there are four traditional types of spatial analysis: spatial overlay and contiguity analysis, surface analysis, linear analysis, and raster analysis. It includes such GIS functions as topological overlay, buffer generation, and spatial or network modeling. Abbreviated SA.
References in periodicals archive ?
com)-- Geographic Information System (GIS) is becoming extremely popular nowadays for its capability of solving problems in the domains like cadastre management, network analysis, location selection, spatial statistics, etc.
with background in spatial statistics to support the Analysis Platform for the National Invasive Alien Plants Survey (NIAPS).
Group differences of fractional anisotropy (FA) and mean diffusivity (MD) were analyzed using tract-based spatial statistics (TBSS).
Cucala, "A distribution-free spatial scan statistic for marked point processes," Spatial Statistics, vol.
Spatial point processes play a fundamental role in spatial statistics and exhibit an active area of research.
Geographic Information System (GIS) technology offers varied solutions including ones that improve field data collection and reporting and others that support disease surveillance and analysis using online mapping and spatial statistics.
Bayesian image restoration with two applications in spatial statistics (with discussion).
This volume examines the Gaussian random fields using the structure of the Hilbert space of functions on the parameter space associated with the covariance, or the Reproducing Kernel Hilbert Space (RKHS), with applications of these ideas to research in finance, spatial statistics, and the filtering and analytic problem related to fractional Brownian motion.
Spatial Statistics for Commercial Applications, An ESRI White Paper.
Managing the economic and social development of a metropolitan area, city, or suburban area is a complex and challenging endeavor that will increasingly rely on the integration of spatial statistics and GIS to assist policy makers at all spatial levels to more efficiently use scarce resources and develop greater accountability in measureable outcomes (Li, Henry, and Davis 1999).
Valuable information on the chemical composition, morphology, and spatial statistics of both glassy and crystalline phases can be obtained by employing scanning electron microscopy combined with X-ray microanalysis and multispectral image analysis.
Spatial statistics & geostatistics; theory and applications for geographic, information science & technology.

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