Mapping and Analysis of Wasteland in Machilipatnam Mandal, Krishna District, Andhra Pradesh, India by using Geographical Information System

2015 ◽  
Vol 4 (1) ◽  
pp. 1435-1448
Author(s):  
Madhu T. ◽  
◽  
Naresh Kumar D. ◽  
Pratheep A. ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Andhra Pradesh ◽  
Geographical Information

Filaria Monitoring Visualization System: A Geographical Information System–Based Application to Manage Lymphatic Filariasis in Andhra Pradesh, India

2012 ◽  
Vol 12 (5) ◽  
pp. 418-427 ◽  
Author(s):  
Suryanaryana Murty Upadhyayula ◽  
Srinivasa Rao Mutheneni ◽  
Sriram Kumaraswamy ◽  
Madhusudhan Rao Kadiri ◽  
Sampath Kumar Pabbisetty ◽  
...  
Keyword(s):  
Information System ◽  
Lymphatic Filariasis ◽  
Geographical Information System ◽  
Andhra Pradesh ◽  
Geographical Information ◽  
Visualization System ◽  
System A

HIGH-RAISED BUILDINGS IN URBAN AREA CONTRIBUTES TO THE SNATCH THEFT INCIDENTS

2017 ◽  
Vol 3 (2) ◽  
pp. 65
Author(s):  
Anith Nabilah Mustafa ◽  
Siti Rasidah Md Sakip
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Urban Area ◽  
Statistical Data ◽  
3D Modelling ◽  
Geographical Information ◽  
Residential Areas ◽  
Development Area ◽  
Crime Reports ◽  
Index Crime

Snatch theft incidents are on the rise in Malaysia especially in the cities. It tends to happen in cities because there is a possibility to commit it and both crime and urban are often associated with each other. The aim of this paper is to find out whether the building with two or more levels in urban area contributes to the snatch theft incidents. The present study has been taken up to detect the hotspots of snatch theft in Selangor, Malaysia. The crime data were obtained by requesting and analysing the index crime statistical data from the Royal Malaysian Police (RMP). This study made use of the Geographical Information System (GIS) where its 3D modelling function to construct, assess and analyse the area with high snatch theft cases. The crime reports of 2010 until 2015 were geocoded and the crime maps were prepared in ArcGIS 10.2. It was found that the hotspot area is a mix-used development area which consists mainly of commercial and residential areas of more than two-level buildings. 

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