Exploration and visualization of highway freight flow movements in the United States using geographical information system (GIS)

2012 ◽  
Vol 5 (10) ◽  
Author(s):  
Guoqiang Shen
2018 ◽  
Vol 42 (4) ◽  
pp. 763-794 ◽  
Author(s):  
Gregori Galofré-Vilà ◽  
Aravinda Meera Guntupalli ◽  
Bernard Harris ◽  
Andrew Hinde

During the last 30 years, economic and social historians have collected and analyzed large amounts of anthropometric data to explore key aspects of the human past. Attention has also been devoted to the examination of factors that can exert an influence on stature. This article outlines the different ways in which climate might influence stature, either directly or indirectly. It then uses geographical information system software to explore the relationship between variations in temperature and precipitation and the average heights of men in France, India, Mexico, Spain, and the United States over the last two centuries. It is possible to observe an influence of climate on stature in some countries, especially during the nineteenth century, but the relationship weakens across time and largely disappears in recent decades. The attenuation of this relationship is attributed to a process of “technophysio evolution” as countries modernized and developed economically.


2017 ◽  
Vol 3 (2) ◽  
pp. 65
Author(s):  
Anith Nabilah Mustafa ◽  
Siti Rasidah Md Sakip

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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