The Journal of Spatial Information Science (JOSIS) is an international, interdisciplinary, open-access journal dedicated to publishing high-quality, original research articles in spatial information science. The journal aims to publish research spanning the theoretical foundations of spatial and geographical information science, through computation with geospatial information, to technologies for geographical information use. [More about JOSIS...]

JOSIS is run as a service to the geographic information science community, supported entirely through the efforts of volunteers. JOSIS does not aim to profit from the articles published in the journal, which are open access. We encourage you to become involved in JOSIS by registering as a reader, reviewer, or author, or simply making a donation to JOSIS.

No 18 (2019)

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Table of Contents

Research Articles

Discovery of topological constraints on spatial object classes using a refined topological model PDF
Ivan Majic, Elham Naghizade, Stephan Winter, Martin Tomko 1-30
Evaluating existing manually constructed natural landscape classification with a machine learning-based approach PDF
Rok Ciglič, Erik Štrumbelj, Rok Češnovar, Mauro Hrvatin, Drago Perko 31-56
A hidden Markov model for matching spatial networks PDF
Benoit Costes, Julien Perret 57-89
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Articles in JOSIS are licensed under a Creative Commons Attribution 3.0 License.