Preprint Article Version 1 This version is not peer-reviewed

Geostatistics and Digital Social Networks—A Study of Tourism Dynamics in “Alta and University of Coimbra” (UNESCO world Heritage Site)

Version 1 : Received: 28 January 2019 / Approved: 30 January 2019 / Online: 30 January 2019 (05:21:59 CET)

How to cite: Santos, J.G.D.; de Azevedo, L.R.S.; Patriarca, J.A.S.; Leitão, L.C.R. Geostatistics and Digital Social Networks—A Study of Tourism Dynamics in “Alta and University of Coimbra” (UNESCO world Heritage Site). Preprints 2019, 2019010301 (doi: 10.20944/preprints201901.0301.v1). Santos, J.G.D.; de Azevedo, L.R.S.; Patriarca, J.A.S.; Leitão, L.C.R. Geostatistics and Digital Social Networks—A Study of Tourism Dynamics in “Alta and University of Coimbra” (UNESCO world Heritage Site). Preprints 2019, 2019010301 (doi: 10.20944/preprints201901.0301.v1).

Abstract

Spatial modeling in Geographic Information Systems (GIS) always involves choices. The existence of constraints, either of a financial nature or related to the specifics of the software itself, to the algorithms, the uncertainty and even the reliability of the data, the purposes and the applications of the studies, make this a kind of guiding compass for GIS analysts. Building on a previous exercise of data acquisition (check-ins) based on two Digital Social Networks (DSN—Facebook and Foursquare) and on the awareness of the use of voluntary geographic information generated by tourists sharing their topophilic ties through DSN, the present analysis aims to evaluate the contribution of modern techniques of spatial analysis applied to tourism in the “Alta and University of Coimbra” area. Concepts and procedural tasks related to density determination, cluster analysis and identification of patterns associated with regionalized variables have thus been implemented with the purpose of evaluating and comparing the results obtained through the application of two techniques of spatial analysis, Kernel Density Estimation (KDE) and Optimized Hot-Spot Analysis (OHSA) & Inverse Distance Weighting (IDW) Interpolation.

Subject Areas

geostatistics; spatial modeling; KDE; OHSA; IDW; tourism; Coimbra

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