A new geospatial overlay method for the analysis and visualization of spatial change patterns using object-oriented data modeling concepts
Bibliographic Data
| ID | 12751084 |
|---|---|
| Authors | Dirk Tiede (0000-0002-5473-3344, University of Salzburg, corresponding author) |
| Year | 2014 |
| Volume | 41 |
| Issue | 3 |
| Pages | 227-234 |
| Publication date | 2014-03-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/15230406.2014.901900 |
| PMID | 27019643 |
| OpenAlex | W1977027508 |
| Language | EN |
| References cited | 11 |
Traditional geographic information system (GIS)-overlay routines usually build on relatively simple data models. Topology is - if at all - calculated on the fly for very specific tasks only. If, for example, a change comparison is conducted between two or more polygon layers, the result leads mostly to a complete and also very complex from-to class intersection. A lot of additional processing steps need to be performed to arrive at aggregated and meaningful results. To overcome this problem a new, automated geospatial overlay method in a topologically enabled (multi-scale) framework is presented. The implementation works with polygon and raster layers and uses a multi-scale vector/raster data model developed in the object-based image analysis software eCognition (Trimble Geospatial Imaging, Munich, Germany). Advantages are the use of the software inherent topological relationships in an object-by-object comparison, addressing some of the basic concepts of object-oriented data modeling such as classification, generalization, and aggregation. Results can easily be aggregated to a change-detection layer; change dependencies and the definition of different change classes are interactively possible through the use of a class hierarchy and its inheritance (parent-child class relationships). Implementation is exemplarily shown for a change comparison of CORINE Land Cover data sets. The result is a flexible and transferable solution which is - if parameterized once - fully automated
Class (philosophy · Class hierarchy · Data mining · Geographic information system · Geography · Geospatial analysis · Geovisualization · Object (grammar · Object-oriented programming · Overlay · Polygon (computer graphics · Programming language · Raster data · Raster graphics · Remote sensing · Visualization · Computer Science · Geographic Information Systems Studies · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Artificial Intelligence · Software
| Highly cited | No |
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