Spatial Uncertainty in Ecology: Implications for Remote Sensing and GIS Applications
The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role of u...
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| Weitere Verfasser: | , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2001
|
| Schlagworte: | |
| Online-Zugang: | UBR01 URL des Erstveröffentlichers |
| Zusammenfassung: | The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role of uncertainty in resulting ecological models. This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research. It brings the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences to the ecologist using spatial data. After describing the uses of spatial data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis. Carolyn T. Hunsaker is a research ecologist in the USDA Forest Service in Fresno, California. Michael F. Goodchild is Professor of Geography at the University of California, Santa Barbara. Mark A. Friedl is Assistant Professor in the Department of Geography and the Center for Remote Sensing at Boston University. Ted J. Case is Professor of Biology at the University of California, San Diego |
| Beschreibung: | 1 Online-Ressource (XIII, 402 p) |
| ISBN: | 9781461302094 |
| DOI: | 10.1007/978-1-4613-0209-4 |
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| 520 | |a The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role of uncertainty in resulting ecological models. This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research. It brings the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences to the ecologist using spatial data. After describing the uses of spatial data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis. Carolyn T. Hunsaker is a research ecologist in the USDA Forest Service in Fresno, California. Michael F. Goodchild is Professor of Geography at the University of California, Santa Barbara. Mark A. Friedl is Assistant Professor in the Department of Geography and the Center for Remote Sensing at Boston University. Ted J. Case is Professor of Biology at the University of California, San Diego | ||
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| dewey-hundreds | 500 - Natural sciences and mathematics |
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| spelling | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications edited by Carolyn T. Hunsaker, Michael F. Goodchild, Mark A. Friedl, Ted J. Case New York, NY Springer New York 2001 1 Online-Ressource (XIII, 402 p) txt rdacontent c rdamedia cr rdacarrier The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role of uncertainty in resulting ecological models. This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research. It brings the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences to the ecologist using spatial data. After describing the uses of spatial data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis. Carolyn T. Hunsaker is a research ecologist in the USDA Forest Service in Fresno, California. Michael F. Goodchild is Professor of Geography at the University of California, Santa Barbara. Mark A. Friedl is Assistant Professor in the Department of Geography and the Center for Remote Sensing at Boston University. Ted J. Case is Professor of Biology at the University of California, San Diego Ecology Environment, general Geography, general Environmental sciences Geography Unsicherheit (DE-588)4186957-6 gnd rswk-swf Raumdaten (DE-588)4206012-6 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Ökologie (DE-588)4043207-5 s Raumdaten (DE-588)4206012-6 s Unsicherheit (DE-588)4186957-6 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Hunsaker, Carolyn T. edt Goodchild, Michael F. edt Friedl, Mark A. edt Case, Ted J. edt Erscheint auch als Druck-Ausgabe 9780387951294 Erscheint auch als Druck-Ausgabe 9780387988894 Erscheint auch als Druck-Ausgabe 9781461302100 https://doi.org/10.1007/978-1-4613-0209-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications Ecology Environment, general Geography, general Environmental sciences Geography Unsicherheit (DE-588)4186957-6 gnd Raumdaten (DE-588)4206012-6 gnd Ökologie (DE-588)4043207-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4186957-6 (DE-588)4206012-6 (DE-588)4043207-5 (DE-588)4114528-8 (DE-588)4143413-4 |
| title | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications |
| title_auth | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications |
| title_exact_search | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications |
| title_full | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications edited by Carolyn T. Hunsaker, Michael F. Goodchild, Mark A. Friedl, Ted J. Case |
| title_fullStr | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications edited by Carolyn T. Hunsaker, Michael F. Goodchild, Mark A. Friedl, Ted J. Case |
| title_full_unstemmed | Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications edited by Carolyn T. Hunsaker, Michael F. Goodchild, Mark A. Friedl, Ted J. Case |
| title_short | Spatial Uncertainty in Ecology |
| title_sort | spatial uncertainty in ecology implications for remote sensing and gis applications |
| title_sub | Implications for Remote Sensing and GIS Applications |
| topic | Ecology Environment, general Geography, general Environmental sciences Geography Unsicherheit (DE-588)4186957-6 gnd Raumdaten (DE-588)4206012-6 gnd Ökologie (DE-588)4043207-5 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Ecology Environment, general Geography, general Environmental sciences Geography Unsicherheit Raumdaten Ökologie Mathematisches Modell Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4613-0209-4 |
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