Models and Simulation in Biogeography
Bibliographic Data
| ID | 23666263 |
|---|---|
| Authors | George L W Perry (0000-0001-9672-9135, University of Auckland, corresponding author), George Perry (0000-0002-6547-0172) |
| Year | 2017 |
| Pages | 1-3 |
| Publication date | 2017-03-06 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | International Encyclopedia of Geography (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781118786352.wbieg0407 |
| OpenAlex | W4250317360 |
| ISBN | 9781118786352 |
| Language | EN |
| References cited | 6 |
Models are routinely used by ecologists and biogeographers to learn about and to predict ecosystem dynamics. Models may be classified in many ways but a key criterion in doing so is their purpose, as it is what should guide any model's conceptualization, technical development, and, ultimately, its evaluation. Increases in computational power and data availability have enabled the development of increasingly detailed models, but this realism carries an inferential cost. Partly as a response to such concerns, modelers are adopting a more synthetic approach to modeling, with a broader focus than just prediction.
Conceptualization · Data science · Focus (optics) · Key (lock) · Management science · Artificial Intelligence · Computer Science · Data Analysis with R · demographic modeling and climate adaptation · Engineering · Species Distribution and Climate Change
| Highly cited | No |
|---|