IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS

Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS
View Sample PDF
Author(s): José Gomes dos Santos (University of Coimbra, Portugal), Liliana Raquel Simões Azevedo (University of Coimbra, Portugal)and Luís Carlos Roseiro Leitão (University of Coimbra, Portugal)
Copyright: 2021
Pages: 28
Source title: Methods and Applications of Geospatial Technology in Sustainable Urbanism
Source Author(s)/Editor(s): José António Tenedório (Universidade NOVA de Lisboa, Portugal), Rossana Estanqueiro (Universidade NOVA de Lisboa, Portugal)and Cristina Delgado Henriques (Universidade de Lisboa, Portugal)
DOI: 10.4018/978-1-7998-2249-3.ch006

Purchase

View Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS on the publisher's website for pricing and purchasing information.

Abstract

Spatial modeling always involves choices. The existence of constraints, the uncertainty and even the reliability of the data, the purposes and the applications of the studies make these reflections 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 volunteered geographic information (VGI) generated by tourists through DSN, this work aims to evaluate the contribution of spatial analysis applied to urban tourism in the “Alta and University of Coimbra” area. Concepts and procedural tasks related to density determination, cluster analysis, and identification of patterns 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) and inverse distance weighting (IDW) interpolation.

Related Content

. © 2023. 22 pages.
. © 2023. 21 pages.
. © 2023. 22 pages.
. © 2023. 21 pages.
. © 2023. 22 pages.
. © 2023. 22 pages.
. © 2023. 23 pages.
Body Bottom