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Spatial statistics is a field of applied statistics dealing with spatial data. It involves stochastic processes ( random fields , point processes ), sampling , smoothing and interpolation , regional ( areal unit ) and lattice ( gridded ) data, point patterns , as well as image analysis and stereology .
Spatial analysis of a conceptual geological model is the main purpose of any MPS algorithm. The method analyzes the spatial statistics of the geological model, called ...
Spatial statistics is a branch of applied statistics that deals with the analysis of spatial data Geostatistics is a branch of geography that deals with the analysis of data from disciplines such as petroleum geology , hydrogeology , hydrology , meteorology , oceanography , geochemistry , geography .
Geostatistics is a branch of statistics focusing on spatial or spatiotemporal datasets.Developed originally to predict probability distributions of ore grades for mining operations, [1] it is currently applied in diverse disciplines including petroleum geology, hydrogeology, hydrology, meteorology, oceanography, geochemistry, geometallurgy, geography, forestry, environmental control, landscape ...
Spatial descriptive statistics is the intersection of spatial statistics and descriptive statistics; these methods are used for a variety of purposes in geography, particularly in quantitative data analyses involving Geographic Information Systems (GIS).
The analysis of point pattern data in a compact subset S of R n is a major object of study within spatial statistics. Such data appear in a broad range of disciplines, [32] amongst which are forestry and plant ecology (positions of trees or plants in general) epidemiology (home locations of infected patients) zoology (burrows or nests of animals)
Geographers use statistics in numerous ways: [citation needed] To describe and summarize spatial data. To make generalizations concerning complex spatial patterns. To estimate the probability of outcomes for an event at a given location. To use samples of geographic data to infer characteristics for a larger set of geographic data (population).
The spatial weight matrix is a key quantity in the computation of many spatial indices like Moran's I, Geary's C, Getis-Ord statistics and Join Count Statistics. Contiguity-Based Weights [ edit ]