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Volumn 2016-November, Issue , 2016, Pages 5913-5916

A cost-efficient approach for measuring Moran's index of spatial autocorrelation in geostationary satellite data

Author keywords

MapReduce; Moran's I; Raster data; Satellite data; Spatial autocorrelation

Indexed keywords


EID: 85007495070     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7730545     Document Type: Conference Paper
Times cited : (16)

References (5)
  • 2
    • 84880071635 scopus 로고    scopus 로고
    • New approaches for calculating morans index of spatial autocorrelation
    • Yanguang Chen, "New approaches for calculating morans index of spatial autocorrelation," PloS one, vol. 8, no. 7, pp. e68336, 2013
    • (2013) PloS One , vol.8 , Issue.7 , pp. e68336
    • Chen, Y.1
  • 3
    • 84888063611 scopus 로고    scopus 로고
    • A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation
    • Chao Fan and Soe Myint, "A comparison of spatial autocorrelation indices and landscape metrics in measuring urban landscape fragmentation," Landscape and Urban Planning, vol. 121, pp. 117-128, 2014
    • (2014) Landscape and Urban Planning , vol.121 , pp. 117-128
    • Fan, C.1    Myint, S.2
  • 5
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Jeffrey Dean and Sanjay Ghemawat, "Mapreduce: simplified data processing on large clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.