Development of a spatial analysis tool for irregular zones using the spatial data framework

Geographical Review of Japan, Series A

Volumn 72, Issue 3, 1999, Pages 166-177

  Zhang, Changping ^a  

^a Kokusai Kogyo Co Ltd   (Japan)

Author keywords

Digital map 2500 (Spatial Data Framework, SDF); Distribution of population density; Geographical Information System (GIS); Spatial autocorrelation; Topological vector data

Indexed keywords

DEMOGRAPHIC METHOD; GIS; MAPPING; POPULATION DYNAMICS; SPATIAL ANALYSIS;

EID: 0033014089     PISSN: 00167444     EISSN: None     Source Type: Journal    
DOI: 10.4157/grj1984a.72.3_166     Document Type: Article

References (15)

1. Anselin, L. 1988. Spatial econometrics: Methods and models. Dordrecht: Kluwer.
2. Batty, M. and Xie, Y. 1994a. Modelling inside GIS: Part 1. Model structures, exploratory spatial data analysis and aggregation. International Journal of Geographical Information Systems 8: 291-307.
3. Batty, M. and Xie, Y. 1991b. Modelling inside GIS: Part 2. Selecting and calibrating urban models using ARC-INFO. International Journal of Geographical Information Systems 8: 451-470.
4. Can, A. 1996. Weight matrices and spatial autocorrelation statistics using a topological vector data model. International Journal of Geographical Information Systems 10: 1009-1017.
5. Cliff, A. D. and Ord, J. K. 1981. Spatial processes : Models and applications. London: Pion.
6. Davis, J. C. 1986. Statistics and data analysis in geology. New York: Wiley.
7. Getis, A. 1991. Spatial interaction and spatial autocorrelation: a cross-product approach. Environment and Planning A 23: 1269-1277.
8. Goodchild, D. A. 1986. Spatial autocorrelation. CATMOG 47. Norwich, UK: Geobook.
9. Kehris, E. 1990. Spatial autocorrelation statistics in Arc/Info. North West Regional Research Laboratory, Research Report No. 16. (Lancaster: Lancaster University).