In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
By embedding sensors in mobile devices, it is possible to exploit the ubiquitous presence of these devices to construct applications for large-scale sensing and monitoring of envi...
Road network data is often incomplete, making it hard to perform network analysis. This paper discusses the problem of extending partial road networks with reasonable links, using...
Boris Aronov, Kevin Buchin, Maike Buchin, B. Janse...
This paper deals with the geographical analysis and visualization of network marketing. The aim of the study was to develop interactive visual methods, which help to answer questi...
SRTM data is distributed at horizontal resolution of 30 meters for areas within the U.S.A. and at 90 meters resolution for the rest of the world. A resolution of 90m can be conside...