Scale effect and methods for accuracy evaluation of attribute information loss in rasterization

Auteur(s) et Affiliation(s)

BAI, Y.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

Graduate Univ. of Chinese Academy of Sciences, Beijing, Chine

LIAO, S.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

SUN, J.

State Key Lab. of Resources and Environmental Information Systems, Inst. of Geographic Sciences and Natural Resources Research, CAS, Beijing, Chine

Description :
Taking land cover data of Sichuan at the scale of 1:250,000 in 2005 as a case, in view of data volume and its processing time of the study region, this study selects 16 spatial scales from 600 m to 30 km, uses rasterizing method based on the Rule of Maximum Area (RMA) in ArcGIS and 2 evaluating methods of attribute accuracy loss, which are Normal Analysis Method (NAM) and a new Method Based on Grid Cell (MBGC), respectively, and analyzes the scale effect of attribute (it is area here) accuracy loss at 16 different scales by these 2 evaluating methods comparatively. The results show that at the same scale, average area accuracy loss of the entire study region evaluated by MBGC is significantly larger than the one estimated using NAM. MBGC can not only estimate RMA rasterization attribute accuracy loss accurately, but can express the spatial distribution of the loss objectively.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2011, vol. 21, n°. 6, p. 1089-1100, nombre de pages : 12, Références bibliographiques : 21 ref.

Date :
2011

Editeur :
Pays édition : Chine

Langue :
Anglais