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

机译:通过非参数方法研究志愿地理数据的空间分布

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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.
机译:如今,通过依靠志愿者贡献,可以轻松生产关于周围景观的非物质特征的新知识。然而,收集数据的空间分布可能受到贡献者位置的影响。使用从基于地图的管理的管理源于基于地图的调查,旨在收集有关在弗雷努利venezia(意大利)的阳性和负质量的地点的明确空间信息,采用描述性分析和非参数程序研究受访者的参考关于映射活动的相关性。结果表明,调查中收集的志愿地理数据并不均匀地分布在研究区域,并且当考虑两个不同的感兴趣的属性时,映射元素与被访者的住宿之间存在不同的空间关系。结果强调了考虑志愿者特征在参与式举措中的当地人口时的重要性。

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