Spatial analysis can be done using various techniques with the aid of statistics and geographical information systems (GIS). A GIS facilitates attribute interaction with geographical data in order to enhance interpretation accuracy and prediction of spatial analysis.
Spatial analysis refers to statistical analysis based on patterns and underlying processes. It is a type of geographical analysis which seeks to explain patterns of human behaviour and its spatial expression in terms of mathematics and geometry, that is, locational analysis.
Spatial analysis is a type of geographical analysis which seeks to explain patterns of human behaviour and its spatial expression in terms of mathematics and geometry, that is, locational analysis. Spatial analysis allows you to solve complex location-oriented problems and better understand where and what is occurring in your world.
It goes beyond mere mapping to let you study the characteristics of places and the relationships between them. Spatial analysis lends new perspectives to your decision-making.
The spatial analysis that is involved in GIS can build geographical data and then resulting information will be more informative than unorganized collected data.
Spatial analysis of individual maps and layers involves two-dimensional processing and geostatistical methods, such as reclassification and thresholding, neighbourhood functions using spatial filters, distance, and buffer calculations, 2D spatial transformations and, importantly, gridding or interpolation.
The spatial analysis can be refined and made interactive, i.e., transformation, manipulation of maps, and applied simple mathematical facts.
A GIS database computes spatial location, distribution, and relationship. Fundamentally, spatial analysis is a set of methods producing refined results with spatial correlation.
