Habitat Selection Using GIS Data: A Case Study

1998 ◽  
Vol 3 (3) ◽  
pp. 296 ◽  
Author(s):  
Wallace P. Erickson ◽  
Trent L. McDonald ◽  
Robert Skinner
Keyword(s):  
2007 ◽  
Vol 40 (4) ◽  
pp. 2070 ◽  
Author(s):  
S. Vassilopoulou ◽  
K. Chousianitis ◽  
V. Sakkas ◽  
B. Damiata ◽  
E. Lagios

The present study is concerned with the management of multi-thematic geo-data of Cephallonia Island, related to crustal deformation. A large amount of heterogeneous data (vector, raster, ascii files) involving geology, tectonics, topography, geomorphology and DGPS measurements was compiled. Crustal deformation was studied using GPS network consisting of '23 stations. This was installed and measured in October 2001 and re-measured during September 2003 following the Lefkas earthquake of August 2003 (Mw=6.2), and also in July 2006. With proper spatial analysis, a large number of thematic and synthetic layers and maps were produced. Simultaneously, a GIS Data base was organized in order to make an easy extraction of conclusions in specific questions.


2013 ◽  
Vol 371 ◽  
pp. 744-748
Author(s):  
Tudor Morar ◽  
Ion Costescu ◽  
Bassian Hissink Muller

This paper offers researchers in transport engineering a method for reducing urban traffic congestion by planning for pedestrians. The method is designed for cities where GIS data is unavailable. Showing how this data can be obtained is one of the major contributions to the field. Other contributions are: using density data instead of infrared imagery to populate housing units with the number of inhabitants, performing network analysis instead of buffer analysis, eliminating homogeneity errors of the density dataset and offering a quantitative way of evaluating new investments in pedestrian infrastructure. The method is applied on a case study, namely the Romanian city of Timisoara. The conclusions present some applications of this technology and underline the importance of teaching it in engineering.


2019 ◽  
Vol 14 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Emma-Louise COLE ◽  
James J WAGGITT ◽  
Anders HEDENSTROM ◽  
Marco PIANO ◽  
Mark D. HOLTON ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0149790 ◽  
Author(s):  
Ariñe Crespo ◽  
Marcos Rodrigues ◽  
Ibon Telletxea ◽  
Rubén Ibáñez ◽  
Felipe Díez ◽  
...  

2018 ◽  
Vol 162 ◽  
pp. 01033
Author(s):  
Mohammed Al-Neami ◽  
Rasha Al-Rubaee ◽  
Zainab Kareem

The capabilities of geographical system and their spatial analysis is considered the most appropriate tools to enhance pavement management operations, with features such as graphical display of pavement condition. In Iraq, most of transportation agencies do not have a tool that is used as a database for road deteriorations, so there is a need for road surveying and storing the collected information in GIS to know the condition of every road with details. Furthermore, these data can be used for maintenance process and estimation of prior cost. This research has been carried out to estimate of flexible pavement condition through visual surveys using the Pavement Condition Index (PCI) method; so it can provide an easy way to calculate the PCI based on GIS data with Micro PAVER software 5.2. Al-Amarah Street, which is internal road in Al-Kut city in the eastern part of Iraq, is used as a case study. The average pavement condition index of the selected case study is found to be “64” using Micro PAVER 5.2 software which mean “Fair” pavement condition. Arc Map 9.3 has been applied in this study to make an integrated maintenance system for each road in the region demonstrating the annual road deteriorations and the resulting change in the PCI values which occurs every year. The study provides an easy and simplified way of presentation the details of deteriorations on the satellite or the geographical map of the road in which each type of distress has been symbolized with specific sign and each PCI value has been represented with specific color.


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