A scientometric analysis of selected GIScience journals

Scientometrics and bibliometrics provide statistical techniques for measuring and analysing science. Scientometric studies have been carried out in many disciplines, but not particularly in GIScience. My study, published in IJGIS, bridges this gap.

Biljecki, F. (2016). A scientometric analysis of selected GIScience journals. International Journal of Geographical Information Science, vol. 30(7), July 2016, pp. 1302-1335. doi:10.1080/13658816.2015.1130831

Abstract: A set of 12,436 papers published in 20 GIScience journals in the period 2000–2014 were analysed to extract publication patterns and trends. This comprehensive scientometric study focuses on multiple aspects: output volume, citations, national output and efficiency (output adjusted with econometric indicators), collaboration, altmetrics (Altmetric score, Twitter mentions, and Mendeley bookmarking), authorship, and length. Examples of notable observations are that 5% countries account for 76% of global GIScience output; a paper published 15 years ago received a median of 12 citations; and the share of international collaborations in GIScience has more than tripled since 2000 (31% papers had authors from multiple countries in 2014, an increase from 10% in 2000).

The freely available author’s version PDF is available here. Please use the authoritative publisher’s publication if available to you.

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New IJGIS paper on the propagation of error in 3D GIS and in estimation of the solar irradiation

A new paper has been published in IJGIS:

Biljecki, F., Heuvelink, G. B. M., Ledoux, H., and Stoter, J. (2015). Propagation of positional error in 3D GIS: estimation of the solar irradiation of building roofs. International Journal of Geographical Information Science, vol. 29(12), December 2015, pp. 2269-2294.
DOI: 10.1080/13658816.2015.1073292

The paper deals with the following:

  • Extension of the error propagation theory to 3D GIS
  • A method to determine the propagation of error with procedurally generated (synthetic) 3D city models
  • Development of a CityGML compliant software prototype to estimate the insolation of rooftops of buildings
  • Investigation of the propagation of error in the estimation of the solar irradiation

The code (Solar3Dcity) supporting this work can be found on the Github repository of our group.

 

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New IJGIS paper: Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry

A new paper has been published in IJGIS:

Boeters, R., Arroyo Ohori, K., Biljecki, F., and Zlatanova, S. (2015). Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry. International Journal of Geographical Information Science, vol. 29(12), December 2015, pp. 2248-2268.
DOI: 10.1080/13658816.2015.1072201

The paper deals with the following:

  • Definition of LOD2+: indoor geometry with an LOD corresponding to LOD2 (CityGML).
  • A method to automatically generate LOD2+ data from models with an exterior geometry.
  • Tests with real-world data: we have generated the LOD2+ of Rotterdam, from the CityGML dataset Rotterdam 3D.
  • Use case: calculating the net internal area of buildings, and validation with real world data from government records.

The code (lod2plus) supporting this work can be found on the Github repository of my group.

 

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