OpenGeoDa, open source software for the exploration and visualization of geospatial data

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2009, Pages 550-551

  Anselin, Luc ^a   McCann, Mark ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Exploratory spatial data analysis; GeoDa; GIS and spatial analysis; Spatial autocorrelation

Indexed keywords

EXPLORATORY DATA ANALYSIS; EXPLORATORY SPATIAL DATA ANALYSIS; GEO-SPATIAL DATA; GEOVISUALIZATION; OPEN SOURCE SOFTWARE; OPEN SOURCES; SPATIAL ANALYSIS; SPATIAL AUTOCORRELATIONS; SPATIAL DATA ANALYSIS; SPATIAL REGRESSION;

COMPUTER SOFTWARE; CORRELATION DETECTORS; DATA VISUALIZATION; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; OPEN SYSTEMS;

DATA HANDLING;

EID: 74049098258     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1653771.1653871     Document Type: Conference Paper

References (5)

1. Anselin, L. (1988). Spatial Econometrics, Methods and Models. Dordrecht, Kluwer Academic.
2. Anselin, L. (1995). Local Indicators of Spatial Association - LISA. Geographical Analysis 27, 93-115.
3. Anselin, L. and O. Smirnov (1996). Efficient Algorithms for Constructing Proper Higher Order Spatial Lag Operators. Journal of Regional Science 36, 67-89.
4. Anselin, L., I. Syabri and Y. Kho (2006). GeoDa: An Introduction to Spatial Data Analysis. Geographical Analysis 38, 5-22.
5. Smirnov, O. and L. Anselin (2001). Fast Maximum Likelihood Estimation of Very Large Spatial Autoregressive Models: A Characteristic Polynomial Approach. Computational Statistics and Data Analysis 35, 301-319.