Spatial Analysis
Bibliographic Data
| ID | 23704752 |
|---|---|
| Authors | Levi John Wolf (0000-0003-0274-599X, Arizona State University), Alan T Murray (0000-0003-2674-6110, Arizona State University) |
| Year | 2017 |
| Pages | 1-11 |
| Publication date | 2017-03-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | International Encyclopedia of Geography (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781118786352.wbieg0505 |
| OpenAlex | W4236885282 |
| ISBN | 9781118786352 |
| Language | EN |
| References cited | 11 |
Spatial analysis has long been central to solving geographical problems. Broadly speaking, the goal of spatial analysis is to understand, express, and exploit order, pattern and/or structure inherent in geographically distributed phenomena. Formal techniques, relying on geographic information science, statistics, mathematics, and computation, forge a link between geographic data and useful knowledge, and therefore are utilized as part of spatial analysis. The structure of spatial data make it different from nonspatial data requiring care and attention when analytical methods are applied. Four major types of order often inherent to geographic data are spatial dependence, spatial heterogeneity, and scale and frame effects. As a result, order, pattern and structure take on special significance and must be accounted for and/or exploited. Spatial analysis is not, however, merely a simple set of tools but rather a perspective and process by which inquiry, exploration, and decision‐making are carried out. Spatial analysis is a rich and diverse domain capable of contributing to a range of research questions united by a common goal of examining order, pattern, and structure in geographic data.
Cartography · Data mining · Data science · Domain (mathematical analysis) · Exploit · Frame (networking) · Geographic information system · Geography · Geospatial analysis · Perspective (graphical) · Range (aeronautics) · Set (abstract data type) · Spatial analysis · Spatial ecology · Artificial Intelligence · Computer Science · Human Mobility and Location-Based Analysis · Mathematics · Spatial and Panel Data Analysis · Urban Transport and Accessibility
| Citation velocity | historical |
|---|---|
| Highly cited | No |