Quantifying Spatial Patterns of Landscapes
Bibliographic Data
| ID | 10887424 |
|---|---|
| Authors | Magnus Ekström (0000-0002-7227-5113, Swedish University of Agricultural Sciences, corresponding author) |
| Year | 2003 |
| Volume | 32 |
| Issue | 8 |
| Pages | 573 |
| Publication date | 2003-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | AMBIO (JOURNAL) |
| Journal identifiers | ISSN: 0044-7447 • E-ISSN: 1654-7209 |
| Publisher | American Bryological and Lichenological Society (PUBLISHER • US) |
| DOI | 10.1639/0044-7447(2003)032[0573:qspol]2.0.co;2 |
| PMID | 15049355 |
| OpenAlex | W2174802387 |
| Language | EN |
| Citations received | 1 |
| References cited | 9 |
In this paper we discuss information theoretical landscape indices based on data from digitized maps in grid format: measures based on Shannon's entropy, e.g. the measures of diversity and contagion; and measures based on conditional entropy, e.g. a new index which can be seen as an alternative to the measure of contagion that does not have the disadvantage of being highly correlated to the measure of diversity. We also introduce a measurement on how much information is contained in a coarse-scale map about a fine-scale map.
Cartography · Conditional entropy · Data mining · Diversity index · Entropy (arrow of time) · Generalized entropy index · Geodesy · Geography · Grid · Index (typography) · Measure (data warehouse) · Principle of maximum entropy · Scale (ratio) · Spatial analysis · Statistics · Transfer entropy · Artificial Intelligence · Computer Science · Data Management and Algorithms · Geology · Image Retrieval and Classification Techniques · Land Use and Ecosystem Services · Mathematics
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |