نتایج جستجو برای: openstreetmap

تعداد نتایج: 825  

Journal: :ISPRS International Journal of Geo-Information 2020

Journal: :ISPRS International Journal of Geo-Information 2015

Journal: :International Journal of Geographical Information Science 2021

Few laws about geographical information are known, partly because is inherently complex. Tobler’s first law of Geography and, to a lesser degree, also his second among the rare exceptions. In this article, we explore validity Benford’s in context example OpenStreetMap. More specifically, compare distribution several numerical features entities Benford distribution. It demonstrated that examined...

Journal: :Lecture Notes in Computer Science 2021

OpenStreetMap (OSM) is one of the richest, openly available sources volunteered geographic information. Although OSM includes various geographical entities, their descriptions are highly heterogeneous, incomplete, and do not follow any well-defined ontology. Knowledge graphs can potentially provide valuable semantic information to enrich entities. However, interlinking entities with knowledge i...

Journal: :ISPRS international journal of geo-information 2021

OpenStreetMap (OSM) is a global mapping project which generates free geographical information through community of volunteers. OSM used in variety applications and for research purposes. However, it also possible to import external data sets OpenStreetMap. The opinions about these imports are divergent among researchers contributors, the subject constantly discussed. question whether importing ...

Journal: :ISPRS international journal of geo-information 2022

This paper is an Editorial for the Special Issue titled “OpenStreetMap as a multidisciplinary nexus: perspectives, practices and procedures”. The largely based on talks presented in 2019 2020 editions of Academic Track at State Map conferences. As such, it represents most pressing relevant issues topics considered by academic community relation to OpenStreetMap (OSM)—a global project aimed crea...

2016
Musfira Jilani Padraig Corcoran Michela Bertolotto

Recent years have seen a significant increase in the number of applications requiring accurate and up-to-date spatial data. In this context crowdsourced maps such as OpenStreetMap (OSM) have the potential to provide a free and timely representation of our world. However, one factor that negatively influences the proliferation of these maps is the uncertainty about their data quality. This paper...

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