%0 Journal Article %A QI Lili %A BO Yanchen %T MAUP Effects on the Detection of Spatial Hot Spots in Socio-economic Statistical Data %D 2012 %R 10.11821/xb201210003 %J Acta Geographica Sinica %P 1317-1326 %V 67 %N 10 %X The study of spatial distribution of population and economic situations is important for government policy making. County-level agriculture statistical data in 2000 and Beijing's second economic census data in 2008 were collected in order to explore the hot spots' scale effects. First, China's county-level agriculture statistical data and Beijing's second economic census data were aggregated to different scales based on certain aggregation rules. Second, hot spots detection was implemented based on G value at each scale respectively. Third, the changes of hot spots at different scales were analyzed. Fourth, factors affecting the changes were identified by employing Logistic Regression Model and a prediction model was built. Results show that, space hot spots explored by G value have significant MAUP effects. The higher the aggregation level, the greater the spatial scale, the less the number of hot spots. The number of units in a hot spot on the confidence level of 99.9% has a significant effect on the changes of hot spots. The mean G value of a hot spot on the confidence level of 98% has a significant effect on the changes of hot spots. Hot spots will become less susceptible to MAUP when they have more units and a larger G value. When the hot spot distribution is already known in the fine scale, changes of a hot spot can be predicted based on the model we built, which depends on unit number that the hot spot contains and mean G value of the hot spot. The prediction accuracy of China's county-level agriculture statistical data can reach 93.8% and that of Beijing's second economic census data can reach 94.2%. The consistent conclusion of the two datasets shows that scale effects on the detection of spatial hot spots have nothing to do with variables and study areas. %U https://www.geog.com.cn/EN/10.11821/xb201210003