Extrapolating spatial autocorrelation to optimize the size of segments in an area frame
In the frame of rapid crop area estimates, segments of 49 hectares have been used for area frame sampling. Estimates have been made for interannual difference that has been assessed by photo-interpretation of satellite images. In this situation, with large fixed costs and moderate variable costs, the optimum size seems to be larger than the current one. A method based on splitting the segments into sections of one hectare has been assessed, to forecast the precision of estimates with larger segments. The first results confirm that larger segments give a better cost-precision ratio.
Bibliographic Reference: Paper presented: Sixth Kansas State University Conference on Applied Statistics in Agriculture, Manhatten, Kansas (US), April 25-26, 1994
Availability: Available from (1) as Paper EN 38195 ORA
Record Number: 199410478 / Last updated on: 1994-11-28
Original language: en
Available languages: en