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A spatial data set is a data set in which each observation is referenced to a site or area. Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods described include data description, map interpolation, exploratory and explanatory analyses. The book also examines how spatial referencing raises a distinctive set of issues for the data analyst and recognizes the need to test underlying statistical assumptions. Further, methods for detecting problems, assessing their seriousness and taking appropriate action are discussed.

MET Methods & Techniques --- mathematical methods --- methods & techniques --- modelling --- multivariate --- pattern --- population --- population geography --- spatial analysis --- statistical methods --- statistics --- Population geography --- Spatial analysis (Statistics) --- 504 --- 57.087.1 --- 681.3*H28 --- 57.087.1 Biometry. Statistical study and treatment of biological data --- Biometry. Statistical study and treatment of biological data --- 504 Environment. Environmental science --- Environment. Environmental science --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- Demography --- Human geography --- Statistical methods --- Database applications (Data mining- Image databases - Scientific databases - Spatial databases and GIS - Statistical databases) --- Sociology of environment --- Quantitative methods in social research --- Spatial analysis (Statistics). --- Geografie --- Statistical methods. --- Geografische Informatie Systemen --- Modelleren. --- Analyse spatiale (Statistique) --- Géographie de la population --- Méthodes statistiques --- Recherche quantitative --- Technique de l'environnement

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Tropical habitats may contain more than a third of the world's plant and animal species; Costa Rica alone is home to one of the highest levels of biodiversity per unit area in the world, and stands at center stage in worldwide conservation efforts. Within such regions, the use of state-of-the-art digital mapping technologies-sophisticated techniques that are relatively inexpensive and accessible-represents the future of conservation planning and policy. These methods, which employ satellites to obtain visual data on landscapes, allow environmental scientists to monitor encroachment on indigenous territories, trace park boundaries through unmarked wilderness, and identify wildlife habitats in regions where humans have limited access.Focusing on the rich biodiversity of Costa Rica, the contributors demonstrate the use of geographic information systems (GIS) to enhance conservation efforts. They give an overview of the spatial nature of conservation and management and the current status of digital mapping in Costa Rica; a review of the basic principles behind digital mapping technologies; a series of case studies using these technologies at a variety of scales and for a range of conservation and management activities; and the results of the Costa Rican gap analysis project. GIS Methodologies for Developing Conservation Strategies provides powerful tools for those involved in decision-making about the natural environment, particularly in developing nations like Costa Rica where such technologies have not yet been widely adopted. For specialists in such areas as geography, conservation biology, and wildlife and natural resource management, the combination of conceptual background and case examples make the book a crucial addition to the literature.

Forêt tropicale humide --- Tropical rain forests --- Animal sauvage --- wild animals --- Plante sauvage --- Wild plants --- Conservation des ressources --- Resource conservation --- Système d'information géographique --- Geographical information systems --- Développement durable --- Sustainable development --- Costa Rica --- Wildlife conservation --- Forest conservation --- Geographic information systems --- Digital mapping --- 681.3*H28 --- 528.9 --- 502.35 --- 681.3*H4 --- <728.6> --- Computer cartography --- Computer mapping --- Digitized mapping --- Cartography --- GIS (Information systems) --- Information storage and retrieval systems --- Conservation of forests --- Forest preservation --- Forests and forestry --- Preservation of forests --- Nature conservation --- Deforestation --- Animal conservation --- Animals --- Conservation of wildlife --- Preservation of wildlife --- Protection of wildlife --- Species conservation --- Species preservation --- Species protection --- Wildlife preservation --- Wildlife protection --- Wildlife resources conservation --- Wildlife resources preservation --- Wildlife resources protection --- Conservation of natural resources --- Endangered species --- Wildlife management --- Remote sensing. --- Database applications (Data mining- Image databases - Scientific databases - Spatial databases and GIS - Statistical databases) --- Cartography. Mapping (textual documents) --- Conservation management in general. Monitoring --- Information systems applications (GIS etc.) --- Geography --- Conservation --- Control --- Earth & Environmental Sciences --- Ecology --- Remote sensing --- Digital mapping. --- Environmental Sciences and Forestry. Remote Sensing and Geographical Information Systems --- Geographical Information Systems --- Geographical Information Systems. --- <728.6> Costa Rica --- 681.3*H4 Information systems applications (GIS etc.) --- 502.35 Conservation management in general. Monitoring --- 528.9 Cartography. Mapping (textual documents)