caa a22 4500 44530099X CHVBK 20180317142557.0 cr unu---uuuuu 170323e20100201xx s 000 0 eng 10.1007/s11430-009-0193-x doi (NATIONALLICENCE)springer-10.1007/s11430-009-0193-x Estimating spatial attribute means in a GIS environment [Elektronische Daten] [JinFeng Wang, LianFa Li, George Christakos] The estimation of geographical attributes is a crucial matter for many real-world problems, and the issue of accuracy stands out when the estimation is used for between-regions comparison. In this work, our concern is area attribute estimation in a GIS environment. We estimate the area attribute value with a mean Kriging technique, and the probability distribution of the estimate is derived. This is the best linear unbiased observed spatial population mean estimate and can be used in more relaxed situations than the block Kriging technique. Both theoretical analysis and empirical study show that the mean Kriging technique outperforms the ordinary Kriging, spatial random sampling, and simple random sampling techniques in estimating the observable spatial population mean across space. Science in China Press and Springer Berlin Heidelberg, 2010 spatial mean nationallicence mean Kriging nationallicence spatial dependence nationallicence GIS nationallicence Wang JinFeng Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Li LianFa Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Christakos George Department of Geography, San Diego State University, 92182-4493, San Diego, CA, USA aut Science China Earth Sciences SP Science in China Press 53/2(2010-02-01), 181-188 1674-7313 53:2<181 2010 53 11430 https://doi.org/10.1007/s11430-009-0193-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11430-009-0193-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang JinFeng Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Li LianFa Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Christakos George Department of Geography, San Diego State University, 92182-4493, San Diego, CA, USA aut NATIONALLICENCE 773 0- Science China Earth Sciences SP Science in China Press 53/2(2010-02-01), 181-188 1674-7313 53:2<181 2010 53 11430 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer