DOI: 10.1016/j.jag.2012.02.005
Scopus记录号: 2-s2.0-84883054839
论文题名: Mapping efficiency and information content
作者: Hengl T ; , MacMillan R ; A ; , Nikolić M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 22, 期: 1 起始页码: 127
结束页码: 138
语种: 英语
英文关键词: Complexity
; Compression
; Effective information content
; Regression-kriging
; Scale
; Soil mapping
Scopus关键词: accuracy assessment
; algorithm
; geostatistics
; kriging
; mapping
; regression analysis
; soil organic matter
英文摘要: This paper proposes two compound measures of mapping quality to support objective comparison of spatial prediction techniques for geostatistical mapping: (1) mapping efficiency - defined as the costs per area per amount of variation explained by the model, and (2) information production efficiency - defined as the cost per byte of effective information produced. These were inspired by concepts of complexity from mathematics and physics. Complexity i.e. the total effective information is defined as bytes remaining after compression and after rounding up the numbers using half the mapping accuracy (effective precision). It is postulated that the mapping efficiency, for an area of given size and limited budget, is basically a function of inspection intensity and mapping accuracy. Both measures are illustrated using the Meuse and Ebergötzen case studies (gstat, plotKML packages). The results demonstrate that, for mapping organic matter (Meuse data set), there is a gain in the mapping efficiency when using regression-kriging versus ordinary kriging: mapping efficiency is 7% better and the information production efficiency about 25% better (3.99 vs 3.14 EUR B-1 for the GZIP compression algorithm). For mapping sand content (Ebergötzen data set), the mapping efficiency for both ordinary kriging and regression-kriging is about the same; the information production efficiency is 29% better for regression-kriging (37.1 vs 27.7 EUR B-1 for the GZIP compression algorithm). Information production efficiency is possibly a more robust measure of mapping quality than mapping efficiency because: (1) it is scale-independent, (2) it can be more easily related to the concept of effective information content, and (3) it accounts for the extrapolation effects. The limitation of deriving the information production efficiency is that both reliable estimate of the model uncertainty and the mapping accuracy is required. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79821
Appears in Collections: 气候变化事实与影响
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作者单位: ISRIC - World Soil Information, P.O. Box 363, 6700 AJ Wageningen, Netherlands; Faculty of Mathematics, University of Belgrade, Studentski trg 16, Belgrade, Serbia
Recommended Citation:
Hengl T,, MacMillan R,A,et al. Mapping efficiency and information content[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,22(1)