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Spatial analysis

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Spatial location: Transfer positioning information of space objects with the help of space coordinate system. Projection transformation theory is the foundation of spatial object representation.Spatia ...
2014-2-21 21:46
Geographic information science and spatial analysis
Geographic information systems (GIS) and the underlying geographic information science that advances these technologies have a strong influence on spatial analysis. The increasing ability to capture a ...
2014-2-21 21:46
Simulation and modeling
Spatial interaction models are aggregate and top-down: they specify an overall governing relationship for flow between locations. This characteristic is also shared by urban models such as those based ...
2014-2-21 21:45
Multiple-Point Geostatistics (MPS)
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 the training image, and generates ...
2014-2-21 21:45
Spatial interaction
Spatial interaction or "gravity models" estimate the flow of people, material or information between locations in geographic space. Factors can include origin propulsive variables such as the number o ...
2014-2-21 21:44
Spatial regression
Spatial regression methods capture spatial dependency in regression analysis, avoiding statistical problems such as unstable parameters and unreliable significance tests, as well as providing informat ...
2014-2-21 21:44
Spatial interpolation
Spatial interpolation methods estimate the variables at unobserved locations in geographic space based on the values at observed locations. Basic methods include inverse distance weighting: this atten ...
2014-2-21 21:44
Spatial autocorrelation
Spatial autocorrelation statistics measure and analyze the degree of dependency among observations in a geographic space. Classic spatial autocorrelation statistics include Moran's I, Geary's C, Getis ...
2014-2-21 21:44
Spatial data analysis
Urban and Regional Studies deal with large tables of spatial data obtained from censuses and surveys. It is necessary to simplify the huge amount of detailed information in order to extract the main t ...
2014-2-21 21:43
Types of spatial analysis
Spatial data comes in many varieties and it is not easy to arrive at a system of classification that is simultaneously exclusive, exhaustive, imaginative, and satisfying. -- G. Upton B. Fingelton
2014-2-21 21:43
Geographic space
A mathematical space exists whenever we have a set of observations and quantitative measures of their attributes. For example, we can represent individuals' income or years of education within a coord ...
2014-2-21 21:43
Ecological fallacy
The ecological fallacy describes errors due to performing analyses on aggregate data when trying to reach conclusions on the individual units. Errors occur in part from spatial aggregation. For exampl ...
2014-2-21 21:42
Atomic fallacy
This describes errors due to treating elements as separate 'atoms' outside of their spatial context.
2014-2-21 21:42
Locational fallacy
The locational fallacy refers to error due to the particular spatial characterization chosen for the elements of study, in particular choice of placement for the spatial presence of the element.Spatia ...
2014-2-21 21:42
Length
In a paper by Benoit Mandelbrot on the coastline of Britain it was shown that it is inherently nonsensical to discuss certain spatial concepts despite an inherent presumption of the validity of the co ...
2014-2-21 21:41
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