Advertisement

Components of Spatial Information Management in Wildlife Ecology: Software for Statistical and Modeling Analysis

  • Hawthorne L. Beyer
  • Jeff Jenness
  • Samuel A. Cushman

Abstract

Spatial information systems (SIS) is a term that describes a wide diversity of concepts, techniques, and technologies related to the capture, management, display and analysis of spatial information. It encompasses technologies such as geographic information systems (GIS), global positioning systems (GPS), remote sensing, and relational database management systems (RDBMS), which were once relatively independent but increasingly have been merging into cohesive, integrated systems.

Keywords

Geographic Information System Kernel Density Estimation Relational Database Management System Geographic Information System Software Wildlife Ecology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cressie NAC (1993) Statistics for spatial data. Wiley, New YorkGoogle Scholar
  2. Dale MRT (1999) Spatial pattern analysis in plant ecology. Cambridge University Press, CambridgeGoogle Scholar
  3. Diggle PJ, Ribeiro PJ (2007) Model-based geostatistics. Springer, New YorkGoogle Scholar
  4. Fortin M, Dale MRT (2005) Spatial analysis: a guide for ecologists. Cambridge University Press, CambridgeGoogle Scholar
  5. Landguth EL, Cushman SA (in press) CDPOP: a spatially explicity, individual-based, population genetics model. Mol Ecol Resour. doi:10.1111/j.1755-0998.2009.02719.xGoogle Scholar
  6. Majka D, Jenness J, Beier P (2007) CorridorDesigner: ArcGIS tools for designing and evaluating corridors. http://corridordesign.org
  7. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://www.R-project.org
  8. Rodgers AR, Carr AP, Beyer HL, Smith L, Kie JG (2007) HRT: home range tools for ArcGIS. Version 1.1. Ontario Ministry of Natural Resources, Centre for Northern Forest Ecosystem Research, Thunder Bay, Ontario, CanadaGoogle Scholar
  9. Silverman BW (1986) Density estimation for statistics and data analysis. Chapman & Hall/CRC, London, New YorkGoogle Scholar

Copyright information

© Springer 2010

Authors and Affiliations

  • Hawthorne L. Beyer
    • 1
  • Jeff Jenness
    • 2
  • Samuel A. Cushman
    1. 1.Faculty of Biomedical & Life Sciences, Ecology & Evolutionary Biology, Graham Kerr BuildingUniversity of GlasgowGlasgowUK
    2. 2.Jenness EnterprisesFlagstaffUSA

    Personalised recommendations