Road Network Analysis with GIS and GRASS-GIS: A Probabilistic Approach | Zendy

Giuseppe Caristi | Zendy; Roberto Guarneri | Zendy; Sabrin Lo Bosco | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Road Network Analysis with GIS and GRASS-GIS: A Probabilistic Approach

Author(s) -

Giuseppe Caristi,

Roberto Guarneri,

Sabrin Lo Bosco

Publication year - 2021

Publication title -

journal of geographical research

Language(s) - English

Resource type - Journals

ISSN - 2630-5070

DOI - 10.30564/jgr.v4i4.3759

Subject(s) - raster graphics , geographic information system , range (aeronautics) , probabilistic logic , computer science , data mining , path (computing) , geography , remote sensing , artificial intelligence , engineering , aerospace engineering , programming language

In this paper we show how it can be useful to the probability of intersections in the determination of a classification rule for raster conversions in Geographical Information System (GIS) and GRASS GIS for the Road Network Analysis (RNA). We use a geometric probabilities approach for irregular path considering these results for transportation planning operations. We study two particular problems with irregular tessellations, in order to have a situation more realistic respect to map GIS and considering also the maximum value of probability to narrow the range of possible probability values.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research