Spatial Data
In Anselin and Griffith (1988), it is shown in some detail how the results of data analyses may become invalid if spatialdependenc…
In Anselin and Griffith (1988), it is shown in some detail how the results of data analyses may become invalid if spatialdependenc…
The second type of spatial effect, spatial heterogeneity, pertains to the spatial or regional differentiation which follows fromth…
A major consequence of the dependence in a spatial sample is that statistical inference will not be as efficient as for anindepend…
The locational attributes of spatial data (i.e., for the settlements, households, regions, etc.) are formally expressed by meansof…
An attention to location, spatial interaction, spatial structure and spatial processes lies at the heart of research in severalsub…
Vegetation Indices Different bands of a multispectral image may be combined to accentuate the vegetated areas. One such combinatio…
The information derived from remote sensing images are often combined with other auxiliary data to form the basis for a Geographic…
In unsupervised classification, the computer program automatically groups the pixels in the image into separate clusters, dependin…
In supervised classification, the spectral features of some areas of known landcover types are extracted from the image. These are…
Different landcover types in an image can be discriminated using some image classification algorithms using spectral features, i.e…