Nowadays, new knowledge on the immaterial characteristics of surrounding landscapes can easily be produced by relying on volunteer contributions. However, the spatial distribution of the collected data may be influenced by the contributor’s location. Using data sets derived from the administration of a map-based survey, aimed at collecting explicit spatial information on sites perceived as having positive and negative qualities in Friuli Venezia Giulia (Italy), a descriptive analysis and a non-parametric procedure are employed to study the relevance of a respondent’s municipality of reference on the mapping activity. The findings indicate that the volunteered geographic data collected in the survey are not uniformly distributed across the study area and that a different spatial relationship exists between mapped elements and a respondent’s residence when the two different attributes of interest are considered. The results underline the importance of considering volunteers’ characteristics when engaging local populations in participatory initiatives.

Studying the Spatial Distribution of Volunteered Geographic Data Through a Non-parametric Approach / Bressan, Giorgia; Pietro Zaccomer, Gian; Grassetti, Luca. - 12252:4(2020), pp. 488-504. (Intervento presentato al convegno ICCSA 2020 tenutosi a Cagliari (online)) [10.1007/978-3-030-58811-3_36].

Studying the Spatial Distribution of Volunteered Geographic Data Through a Non-parametric Approach

Giorgia Bressan;
2020

Abstract

Nowadays, new knowledge on the immaterial characteristics of surrounding landscapes can easily be produced by relying on volunteer contributions. However, the spatial distribution of the collected data may be influenced by the contributor’s location. Using data sets derived from the administration of a map-based survey, aimed at collecting explicit spatial information on sites perceived as having positive and negative qualities in Friuli Venezia Giulia (Italy), a descriptive analysis and a non-parametric procedure are employed to study the relevance of a respondent’s municipality of reference on the mapping activity. The findings indicate that the volunteered geographic data collected in the survey are not uniformly distributed across the study area and that a different spatial relationship exists between mapped elements and a respondent’s residence when the two different attributes of interest are considered. The results underline the importance of considering volunteers’ characteristics when engaging local populations in participatory initiatives.
2020
ICCSA 2020
degrado; volontari; GIS; geoquestionario; simulazioni
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Studying the Spatial Distribution of Volunteered Geographic Data Through a Non-parametric Approach / Bressan, Giorgia; Pietro Zaccomer, Gian; Grassetti, Luca. - 12252:4(2020), pp. 488-504. (Intervento presentato al convegno ICCSA 2020 tenutosi a Cagliari (online)) [10.1007/978-3-030-58811-3_36].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1557274
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