Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Openstreetmap in Giscience: Experiences, Research, and Applications

Openstreetmap in Giscience: Experiences, Research, and Applications

Zipf, Alexander
Mooney, Peter
Jokar Arsanjani, Jamal

Hardcover

Series: Lecture Notes in Geoinformation and Cartography

General ComputersGeography

ISBN10: 3319142798
ISBN13: 9783319142791
Publisher: Springer Nature
Published: Mar 17 2015
Pages: 324
Weight: 1.43
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English

An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications.- Assessment of logical consistency in OpenStreetMap based on the spatial similarity concept.- Quality assessment of the contributed land use information from OpenStreetMap versus authoritative datasets.- Improving volunteered geographic information quality using a tag recommender system: The case of OpenStreetMap.- Inferring the Scale of OpenStreetMap Features.- Data retrieval for small spatial regions in OpenStreetMap.- The Impact of Society on Volunteered Geographic Information: The case of OpenStreetMap.- Social and political dimensions of the OpenStreetMap project: Towards a critical geographical research agenda.- Spatial Collaboration Networks of OpenStreetMap.- Route choice analysis of urban cycling behaviors using OpenStreetMap: Evidence from a British urban environment.- The Next Generation of Navigational Services using OpenStreetMap data: the Integration of Augmented Reality and Graph Databases.- Building a Multimodal Urban Network Model Using OpenStreetMap Data for the Analysis of Sustainable Accessibility.- Assessing OpenStreetMap as an Open Property Map.- Investigating the Potential of OpenStreetMap for Land Use/Land Cover Production: A Case Study for Continental Portugal.- Using Crowd-Sourced Data to Quantify the Complex Urban Fabric - OpenStreetMap and the Urban-Rural Index.

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