This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored.
1 The present state of agricultural statistics in developed countries: situation and challenges 1
Pt. I Census, Frames, Registers and Administrative Data 25
2 Using administrative registers for agricultural statistics 27
3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics? 45
4 Statistical aspects of a census 63
5 Using administrative data for census coverage 73
Pt. II Sample Design, Weighting and Estimation 85
6 Area sampling for small-scale economic units 87
7 On the use of auxiliary variables in agricultural survey design 107
8 Estimation with inadequate frames 133
9 Small-area estimation with applications to agriculture 139
Pt. III GIS and Remote Sensing 149
10 The European land use and cover area-frame statistical survey 151
11 Area frame design for agricultural surveys 169
12 Accuracy, objectivity and efficiency of remote sensing for agricultural statistics 193
13 Estimation of land cover parameters when some covariates are missing 213
Pt. IV Data Editing and Quality Assurance 231
14 A generalized edit and analysis system for agricultural data 233
15 Statistical data editing for agricultural surveys 243
16 Quality in agricultural statistics 267
17 Statistics Canada's Quality Assurance Framework applied to agricultural statistics 277
Pt. V Data Dissemination and Survey Data Analysis 303
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