Academic Journal
EXPLICITLY ACCOUNTING FOR UNCERTAINTY IN CROWDSOURCED DATA FOR SPECIES DISTRIBUTION MODELLING
| العنوان: | EXPLICITLY ACCOUNTING FOR UNCERTAINTY IN CROWDSOURCED DATA FOR SPECIES DISTRIBUTION MODELLING |
|---|---|
| المؤلفون: | D. Rocchini, A. Comber, C. X. Garzon-Lopez, M. Neteler, A. M. Barbosa, M. Marcantonio, Q. Groom, C. da Costa Fonte, G. M. Foody |
| المصدر: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3-W5, Pp 333-337 (2015) |
| بيانات النشر: | Copernicus Publications, 2015. |
| سنة النشر: | 2015 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Applied optics. Photonics |
| مصطلحات موضوعية: | Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820 |
| الوصف: | Species distribution models represent an important approach to map the spread of plant and animal species over space (and time). As all the statistical modelling techniques related to data from the field, they are prone to uncertainty. In this study we explicitly dealt with uncertainty deriving from field data sampling; in particular we propose i) methods to map sampling effort bias and ii) methods to map semantic bias. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2194-9042 2194-9050 |
| Relation: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/333/2015/isprsannals-II-3-W5-333-2015.pdf; https://doaj.org/toc/2194-9042; https://doaj.org/toc/2194-9050 |
| DOI: | 10.5194/isprsannals-II-3-W5-333-2015 |
| URL الوصول: | https://doaj.org/article/f7c8ed99836d496e85e5cb0bfff2e532 |
| رقم الانضمام: | edsdoj.f7c8ed99836d496e85e5cb0bfff2e532 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 21949042 21949050 |
|---|---|
| DOI: | 10.5194/isprsannals-II-3-W5-333-2015 |