Open Access Open Access  Restricted Access Subscription or Fee Access

Model for Effect of Spatial Weighted Matrix on Spatial Autocorrelation

Zhiliang Wang, Hong Yun Liang, Qilong Zhou


Spatial weight matrix quantificationally explains the spatial relationships between the geographic features, which is an important tool in the analysis of spatial statistics. In this paper, three concepts, i.e., adjacency relationships, distance relationships and comprehensive factors relationships are summarized to characterize the definitions of spatial weight matrix. By selecting four different spatial weight matrixes, we analyze the spatial agglomeration phenomena of flooded area in China. The results show that flooded area in China presents positive spatial autocorrelation. In addition, this phenomenon has a gradually increasing tendency. When different spatial weight matrices are chosen, the results of local spatial autocorrelation show significant spatial differences. Thus, the contrast analysis method may be suitable to research other datasets from different target areas.


Spatial weight matrix; spatal autocorrelation; Moran’s I; Flooded area

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.