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期刊荟萃|Journal of Spatial Science

蒋莉 慧天地 2020-09-16


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Journal of Spatial Science

Publish open access in this journal

Aims and Scope

The Journal of Spatial Science publishes original peer review Research and Review Papers contributing to the theory and practice of the spatial sciences. The Journal also publishes Professional Papers that describe aspects of professional practise and implementation of techniques related to cartography, geodesy, geographic information science, hydrography, photogrammetry, remote sensing or surveying.

Peer review policy

All research and review papers in this journal have undergone rigorous peer review, based on initial editor screening and double-blind refereeing.

Journal Information

  • 2017 Impact Factor:1.078

  • Print ISSN: 1449-8596

  • Online ISSN: 1836-5655

  • 2 issues per year

  • Journal of Spatial Science is abstracted and indexed in: EBSCOhost; Elsevier BV; GeoRef; GEOBASE; OCLC; Ovid; Scopus; Thomson Reuters; Web of Science.

  • Editor-in-Chief :Graeme Wright  (Email: g.l.wright@curtin.edu.au)

Latest Articles

  • Precise measurement of continuously operating reference station (CORS) site deviation due to seismic activities and performance analysis of horizontal time-dependent positioning (HTDP) software

  • Spatiotemporal monitoring of surface soil moisture using optical remote sensing data: a case study in a semi-arid area

  • Exploring passenger rail markets using new station catchment size and shape metrics

  • Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element

  • Open big data from ticketing website as a useful tool for characterizing spatial features of the Chinese high-speed rail system

Most Read Articles

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  • Spatiotemporal processes and their implementation in Spatial System Dynamics models

  • Urban slum detection using texture and spatial metrics derived from satellite imagery

  • A web-based spatial decision support system to enhance public participation in urban planning processes

  • Accuracy comparison of Quickbird, Landsat TM and SPOT 5 imagery for Lantana camara mapping

Most Cited Articles

  • Image segmentation scale parameter optimization and land cover classification using the Random Forest algorithm

  • Positional accuracy analysis of Flickr and Panoramio images for selected world regions

  • An integrated field and remote sensing approach for mapping Seagrass Cover, Moreton Bay, Australia

  • Object-based feature extraction using high spatial resolution satellite data of urban areas

  • Enhanced evaluation of image segmentation results


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