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519.243 --- 65.012.122 --- 57.087.1 --- Sampling (Statistics) --- Random sampling --- Statistics of sampling --- Statistics --- Mathematical statistics --- Sampling. Sampling theory --- Investigation of work flow and planning. Operational research. Linear programming --- Biometry. Statistical study and treatment of biological data --- Sampling (Statistics). --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 65.012.122 Investigation of work flow and planning. Operational research. Linear programming --- 519.243 Sampling. Sampling theory --- STATISTIQUE --- ECHANTILLONAGE

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Méthode statistique --- Statistical methods --- Agriculture --- agriculture --- Biologie --- biology --- Expérimentation --- experimentation --- 519.2 --- 57.087.1 --- Probability. Mathematical statistics --- Biometry. Statistical study and treatment of biological data --- 57.087.1 Biometry. Statistical study and treatment of biological data --- 519.2 Probability. Mathematical statistics --- Biology, Experimental --- Experimental biology --- Biology --- Agricultural statistics --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Research&delete& --- Experiments --- Biomathematics. Biometry. Biostatistics --- Agriculture. Animal husbandry. Hunting. Fishery --- Research --- agriculture. --- experimentation. --- Agriculture - Research - Statistical methods --- Agriculture - Statistical methods --- Biology, Experimental - Statistical methods

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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