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Using a geocoded sampling frame to improve the quality of surveys. FAVRE-MARTINOZ Cyril, FONTAINE Maëlle, LE GLEUT Ronan, LOONIS Vincent Insee, France. Outline . The Handbook of spatial statistics, Best practices in survey sampling, Best practices in spatial sampling
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Using a geocoded sampling frame to improve the quality of surveys FAVRE-MARTINOZ Cyril, FONTAINE Maëlle, LE GLEUT Ronan, LOONIS Vincent Insee, France
Outline The Handbook of spatial statistics, Best practices in survey sampling, Best practices in spatial sampling Constructing Primary Sampling Units, Selecting a spatially balanced sampling
Insee’s handbook of spatial statistics Various initiatives have been undertaken to improve the integration of geospatial and statistical information (UN-GGIM, Eurostat, EFGS) and to help construct a statistical point-based system What do do with such a system in a National Statistics Institute ? The handbook aims at answering this question. It was written by Insee’s officers and various French scholars, with the support of Eurostat It will be released for free on Insee, EFGS and Eurostat website by the end of the year It covers a wide range of activities within the statistical process (production, analysis, confidentiality, dissemination)
(Some of the) Best practices in survey sampling Setting up the best framework for field work Using equal inclusion probability for a multi thematic survey Using auxiliary information to improve the accuracy of the estimations Avoiding selecting statistical units that have the same features
(Some of the) best practices in spatial sampling Constructing Primary Statistical Units with a small geographical area for face-to-face surveys, Constructing Primary Statistical Units with the same number of statistical units to enable equal probability sampling Drawing a spatially well spread sample Tobler’s law « near things are more related than distant things » Avoiding selecting statistical units that have the same features
Constructing 4 PSUs with 3 units and a small geographic extent • Drawing a path through all the locations • Going through the path and calculating the number of units along the way The handbook suggests solutions to construct such PSUs when the number of statistical units is high.
Drawing a spatially well spread sample Two families of methods: Uptading inclusion probabilities step by step to avoid selecting two neighbouring units (Spatially correlated Poisson, Local pivotal method, cube method) Drawing a path and going along the path while selecting units (GRTS…)
Various methods to draw a path Travelling Salesman GRTS Hamilton Various methods to draw a sample along the path : Systematic samplingDeterminantal sampling GR
Whatever the spatial sampling method, the more the variable of interest is spatially autocorrelated, the more accurate the estimations are.