Spatial Data Analysis Task
(Redirected from Spatial Data Analysis)
Jump to navigation
Jump to search
A Spatial Data Analysis Task is a relational data analysis task for spatial data.
- AKA: Spatial Modeling.
- Context:
- It can be solved by a Spatial Data Analysis System.
- It can range from being an Unsupervised Spatial Data Analysis Task such as being a Supervised Spatial Data Analysis Task (such as spatial predictive modeling).
- Example(s):
- Counter-Example(s):
- See: Topological Data, Survival Analysis, Customer Segmentation.
References
2016
- (Wikipedia, 2016) ⇒ http://wikipedia.org/wiki/Spatial_analysis Retrieved:2016-4-26.
- Spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos, to chip fabrication engineering, with its use of "place and route" algorithms to build complex wiring structures. In a more restricted sense, spatial analysis is the technique applied to structures at the human scale, most notably in the analysis of geographic data.
Complex issues arise in spatial analysis, many of which are neither clearly defined nor completely resolved, but form the basis for current research. The most fundamental of these is the problem of defining the spatial location of the entities being studied.
Classification of the techniques of spatial analysis is difficult because of the large number of different fields of research involved, the different fundamental approaches which can be chosen, and the many forms the data can take.
- Spatial analysis or spatial statistics includes any of the formal techniques which study entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos, to chip fabrication engineering, with its use of "place and route" algorithms to build complex wiring structures. In a more restricted sense, spatial analysis is the technique applied to structures at the human scale, most notably in the analysis of geographic data.
2010
- http://en.wikipedia.org/wiki/Spatial_data_analysis
- … The history of spatial analysis starts with early mapping, surveying and geography at the beginning of history, although the techniques of spatial analysis were not formalized until the later part of the twentieth century. Modern spatial analysis focuses on computer based techniques because of the large amount of data, the power of modern statistical and geographic information science (GIS) software, and the complexity of the computational modeling. Spatial analytic techniques have been developed in geography, biology, epidemiology, sociology, demography, statistics, geographic information science, remote sensing, computer science, mathematics, and scientific modelling.