FARMER DECISION-MAKING AND SPATIAL VARIABLES IN NORTHERN THAILAND

被引:16
作者
FOX, J
KANTER, R
YARNASARN, S
EKASINGH, M
JONES, R
机构
[1] CHIANG MAI UNIV,DEPT GEOG,CHIANG MAI,THAILAND
[2] CHIANG MAI UNIV,CTR MULTIPLE CROPPING,CHIANG MAI,THAILAND
[3] GEOG DECIS SYST INT,HONOLULU,HI 96826
关键词
FARMER DECISION MAKING; GEOGRAPHIC INFORMATION SYSTEMS; SPATIAL ANALYSIS; SPATIAL AUTOCORRELATION;
D O I
10.1007/BF02393868
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research has two interrelated objectives. The first is to determine the extent to which a relationship exists between farmer characteristics and farming practices in three villages in northern Thailand. The second is to use standard statistical methods for incorporating spatial variables into the analysis and to assess the effects of these variables on farmer decision making. The data base includes information on the location and size of villages, roads, streams, and fields; a digital elevation model with information on elevation, slope, and aspect; and information keyed to individual fields on crops and cropping methods and the ethnicity, income, and religion of farmers. The map data (517 plots) were entered into a computerized geographic information system (GIS). Results suggest several hypotheses about the relationships between land use and owner characteristics. More significantly, the study concludes that spatial analysis appears to be most useful when the dependent variable is either continuous or ordinal. The outlook is not quite as optimistic when the dependent variable is a nonordinal categorical variable. Before spatial analysis can be applied regularly to social science data, better computational tools need to be developed.
引用
收藏
页码:391 / 399
页数:9
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