GIS4Graph: a tool for analyzing (geo)graphs applied to study efficiency in a street network
نویسندگان
چکیده
Geographic networks are everywhere, as rivers, power grids and street networks. Computational and mathematical tools for traditional analysis of graphs and recent studies on complex networks have been incorporating the geographic component. This article presents a general tool, in development process, for visualizing geographic networks: the GIS4Graph tool. An application is presented in the analysis of efficiency in a street network, based on the straightness centrality index. The case study is done using the OpenStreetMap data from the city of Lorena/SP. The results are showed visually in a map or graph, highlighting the main streets that contribute to the city’s efficiency in terms of straight displacement.
منابع مشابه
(geo)graphs - Complex Networks as a shapefile of nodes and a shapefile of edges for different applications
Spatial dependency and spatial embedding are basic physical properties of many phenomena modeled by networks. The most indicated computational environment to deal with spatial information is to use Georeferenced Information System (GIS) and Geographical Database Management Systems (GDBMS). Several models have been proposed in this direction, however there is a gap in the literature in generic f...
متن کاملDEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...
متن کاملIntegration of artificial neural network and geographic information system applications in simulating groundwater quality
Background: Although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. Artificial neural network (ANN) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. Methods: In this study, ANN was applied to simulate groundwater quality ...
متن کاملTechnical Efficiency Evaluation of Ardabil Hospitals Affiliated to University of Medical Sciences using Artificial Neural Network Method
Background: The optimal management of hospitals as the most important centers for providing health services has always been the focus of decision makers and policymakers. The present study aimed to evaluate the technical efficiency of hospitals affiliated to Ardebil University of Medical Sciences using Artificial Neural Network (ANN) method. Methods: The present descriptive, applied, and cross...
متن کاملImproving Bandwidth-power Efficiency of Homogeneous Wireless Networks Using On-meet Threshold Strategy (RESEARCH NOTE)
Over two decades, a problem of location dependent has been focused for improving the communication Bandwidth-Power Efficiency of homogeneous networks. The efficiencies of communication links are weakened by the Hidden Terminal Problem. Thus we propose a Fine – Tune Strategy for analyzing the On-Off communication region. We were observed that the proposed technique had been able to track and mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017