Location of Things (LoT): A review and taxonomy of sensors localization in IoT infrastructure
Internet of Things (IoT) is a novel design paradigm, intended as a network of billions to
trillions of tiny sensors communicating with each other to offer innovative solutions to real …
trillions of tiny sensors communicating with each other to offer innovative solutions to real …
Recent developments and future trends in volunteered geographic information research: The case of OpenStreetMap
P Neis, D Zielstra - Future internet, 2014 - mdpi.com
User-generated content (UGC) platforms on the Internet have experienced a steep increase
in data contributions in recent years. The ubiquitous usage of location-enabled devices …
in data contributions in recent years. The ubiquitous usage of location-enabled devices …
A comparative study of machine learning classifiers for modeling travel mode choice
J Hagenauer, M Helbich - Expert Systems with Applications, 2017 - Elsevier
The analysis of travel mode choice is an important task in transportation planning and policy
making in order to understand and predict travel demands. While advances in machine …
making in order to understand and predict travel demands. While advances in machine …
Quality assessment for building footprints data on OpenStreetMap
In the past two years, several applications of generating three-dimensional (3D) buildings
from OpenStreetMap (OSM) have been made available, for instance, OSM-3D, OSM2World …
from OpenStreetMap (OSM) have been made available, for instance, OSM-3D, OSM2World …
A comprehensive framework for intrinsic OpenStreetMap quality analysis
OpenStreetMap (OSM) is one of the most popular examples of a Volunteered Geographic
Information (VGI) project. In the past years it has become a serious alternative source for …
Information (VGI) project. In the past years it has become a serious alternative source for …
Automated identification and characterization of parcels with OpenStreetMap and points of interest
Against the paucity of information on urban parcels in China, we propose a method to
automatically identify and characterize parcels using OpenStreetMap (OSM) and points of …
automatically identify and characterize parcels using OpenStreetMap (OSM) and points of …
Machine learning of spatial data
Properties of spatially explicit data are often ignored or inadequately handled in machine
learning for spatial domains of application. At the same time, resources that would identify …
learning for spatial domains of application. At the same time, resources that would identify …
Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience
More than 10 years have passed since the coining of the term volunteered geographic
information (VGI) in 2007. This article presents the results of a review of the literature …
information (VGI) in 2007. This article presents the results of a review of the literature …
Degradation of coastlines under the pressure of urbanization and tourism: Evidence on the change of land systems from Europe, Asia and Africa
The importance of studying coastal areas is justified by their resources, ecosystem services,
and key role played in socio-economic development. Coastal landscapes are subject to …
and key role played in socio-economic development. Coastal landscapes are subject to …
Simulation of urban expansion via integrating artificial neural network with Markov chain–cellular automata
Accurate simulations and predictions of urban expansion are critical to manage urbanization
and explicitly address the spatiotemporal trends and distributions of urban expansion …
and explicitly address the spatiotemporal trends and distributions of urban expansion …