Titlebook: OpenStreetMap in GIScience; Experiences, Researc Jamal Jokar Arsanjani,Alexander Zipf,Marco Helbich Book 2015 Springer International Publis

Dawdle

懦夫

Data Retrieval for Small Spatial Regions in OpenStreetMap (application programming interface). To do this efficiently, the database takes advantage of the assumption that data is often selected from a relatively small spatial region instead of randomly across the planet. The paper aims to investigate what design choices are required to be able to answer a

Optic-Disk

A簡潔的

Social and Political Dimensions of the OpenStreetMap Project: Towards a Critical Geographical Researed in specific social contexts of production and use and thus unavoidably reproduce social conventions and hierarchies. Furthermore, it has been argued that maps also (re)produce certain geographies and thus social realities. This argument shifts attention to the constitutive effects of maps and the

Arrhythmia

Spatial Collaboration Networks of OpenStreetMaps chapter describes a new type of spatial collaboration network which can be extracted from OSM edit history data. Drawing from current literature in the field of Social Network Analysis different concepts of collaboration are discussed. It is shown how to apply the measurement of interlocking respo

freight

Route Choice Analysis of Urban Cycling Behaviors Using OpenStreetMap: Evidence from a British Urban route choice research there has been, in recent years, a trend away from modelling hypothetical situations towards field testing. This is partly due to the effective use of emerging GPS technologies for gathering travel behavior data in “wild” urban spaces, making it possible to observe realistic si

arousal

The Next Generation of Navigational Services Using OpenStreetMap Data: The Integration of Augmented e access to huge amounts of geospatial data, which has resulted in hundreds of commercial and non-commercial web and mobile applications and services. The OSM data is freely available and that is why the data can be used within many data infrastructure applications and value-added services. In addit

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