Author Information

E. Carfagna
F. J. Gallego

Abstract

In the frame of the "Rapid Crop Area Estimates in the European Community" we use a sample of squared segments (pieces of land) of 49 ha. each; estimates are made for difference of crop areas between years. The optimum size seems to be larger than the current one, and much larger if ground survey data are obtained by photo-interpretation. The main purpose of this paper is to assess a method, based on splitting the segments into pieces of 1/4 ha., to forecast the precision of estimates with larger segments. The tests made for France confirm the belief that better estimates can be obtained with a fixed cost by enlarging the size of the segments .

We consider as well the problem of assessing smaller segments, for which an easier technique can be used .

Keywords

Areaframe sampling, segment size, intra-cluster correlation

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Apr 24th, 6:50 PM

EXTRAPOLATING INTRA-CLUSTER CORRELATION TO OPTIMIZE THE SIZE OF SEGMENTS IN AN AREA FRAME.

In the frame of the "Rapid Crop Area Estimates in the European Community" we use a sample of squared segments (pieces of land) of 49 ha. each; estimates are made for difference of crop areas between years. The optimum size seems to be larger than the current one, and much larger if ground survey data are obtained by photo-interpretation. The main purpose of this paper is to assess a method, based on splitting the segments into pieces of 1/4 ha., to forecast the precision of estimates with larger segments. The tests made for France confirm the belief that better estimates can be obtained with a fixed cost by enlarging the size of the segments .

We consider as well the problem of assessing smaller segments, for which an easier technique can be used .