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Gis-based Spatial Statistical Analysis of College Graduates Employment : Volume Xxxix-b2, Issue 1 (25/07/2012)

By Tang, R.

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Book Id: WPLBN0004016467
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Gis-based Spatial Statistical Analysis of College Graduates Employment : Volume Xxxix-b2, Issue 1 (25/07/2012)  
Author: Tang, R.
Volume: Vol. XXXIX-B2, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


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Tang, R. (2012). Gis-based Spatial Statistical Analysis of College Graduates Employment : Volume Xxxix-b2, Issue 1 (25/07/2012). Retrieved from

Description: State Key Laboratory of Information Engineering inSurveying, Mapping and Remote Sensing,Wuhan University, Wuhan 430079, P.R. China. It is urgently necessary to be aware of the distribution and employment status of college graduates for proper allocation of human resources and overall arrangement of strategic industry. This study provides empirical evidence regarding the use of geocoding and spatial analysis in distribution and employment status of college graduates based on the data from 2004–2008 Wuhan Municipal Human Resources and Social Security Bureau, China. Spatio-temporal distribution of employment unit were analyzed with geocoding using ArcGIS software, and the stepwise multiple linear regression method via SPSS software was used to predict the employment and to identify spatially associated enterprise and professionals demand in the future. The results show that the enterprises in Wuhan east lake high and new technology development zone increased dramatically from 2004 to 2008, and tended to distributed southeastward. Furthermore, the models built by statistical analysis suggest that the specialty of graduates major in has an important impact on the number of the employment and the number of graduates engaging in pillar industries. In conclusion, the combination of GIS and statistical analysis which helps to simulate the spatial distribution of the employment status is a potential tool for human resource development research.



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