Error Modelling for Integrated GIS
Bibliographic Data
| ID | 14700996 |
|---|---|
| Authors | Manfred Ehlers (GIS and Remote Sensing Unit, ISPA, University of Vechta, Vechta, Germany, corresponding author), Wenzhong Shi (0000-0002-3886-7027, Hong Kong Polytechnic University), Shi Wenzhong (Hong Kong Polytechnic University) |
| Year | 1996 |
| Volume | 33 |
| Issue | 1 |
| Pages | 11-21 |
| Publication date | 1996-04-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/w5p6-0018-8746-1021 |
| OpenAlex | W4241262013 |
| Language | EN |
| References cited | 3 |
A persistent problem for GIS researchers is the quantitative assessment of the overall error, or uncertainty, of a GIS analysis that requires the combination of heterogeneous data sets. Rather than strive for a global solution, this chapter outlines a stepwise approach to a combined error analysis for the integration of diverse data sets in GIS. The presented method was developed for the integration of information derived from remotely sensed data into a GIS database. Even for such a simple analysis, which is routinely performed in environmental GIS applications, an analytical error-handling strategy is still missing, and researchers have made intensive use of simulation techniques. The purpose of this study is to develop an analytical model to address common errors that can be associated with the generation of GIS layers, such as manual digitizing (positional) errors and automated classification (thematic) errors. As a first step, the error model is restricted to the case of point digitizing and maximum likelihood classification. However, this model can be extended to address integrated error analyses of multisource GIS data or multitemporal remote sensing data sets
AM/FM/GIS · Cartography · Data integration · Data mining · Geographic information system · Geography · GIS applications · GIS file format · Remote sensing · Thematic map · Computer Science · Geographic Information Systems Studies · Hydrology and Watershed Management Studies · Soil Geostatistics and Mapping
| Citation velocity | historical |
|---|---|
| Highly cited | No |