DocumentCode :
2710162
Title :
An exploratory framework for studying movement pattern
Author :
Liu, Yin
Author_Institution :
Geoda Center for Geospatial Anal. & Comput., Arizona State Univ., Tempe, AZ, USA
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a new exploratory framework to identify and estimate the local characteristics associated with the distribution of the distances and the directions for the movements. The focus of attention is paid to hundreds and thousands individual records of movement. Traditional methods were either unable to handle the vast data or limited to search the global “law”. As an initial work, the framework focuses on the origin-destination form of movements, which is parallel to a vector composed by distance and direction. The analysis is working on the distribution of such two elements, with the stressing on how the distribution is differentiated over space. By stressing the local variation, it quantitatively estimates the difference between the patterns for global data and for local data.
Keywords :
data analysis; geophysical techniques; exploratory spatial data analysis; movement pattern; residential movement; Data analysis; Data visualization; Histograms; Spatial databases; Standardization; Statistical analysis; Testing; distance and direction; exploratory spatial data analysis (ESDA); local characteristics; movement pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980921
Filename :
5980921
Link To Document :
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