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首页> 外文期刊>Land Use Policy >Is PPGIS good enough? An empirical evaluation of the quality of PPGIS crowd-sourced spatial data for conservation planning
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Is PPGIS good enough? An empirical evaluation of the quality of PPGIS crowd-sourced spatial data for conservation planning

机译：PPGIS是否足够好？ PPGIS人群源空间数据保护规划质量的实证评估

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A significant barrier to the use of public participation GIS (PPGIS) and crowd-sourcing for conservation planning is uncertainty about the quality of the spatial data generated. This study examines the quality of PPGIS data for use in conservation planning. We evaluate two dimensions of spatial data quality, positional accuracy and data completeness using empirical PPGIS data from a statewide study of public lands in Victoria, Australia. Using an expert-derived spatial conservation model for Victoria as a benchmark, we quantify the performance of a crowd-sourced public in their capacity to accurately and comprehensively identify areas of high conservation importance in the PPGIS process. About 70% of PPGIS points that identified biological/conservation values were spatially coincident (position accurate) with modeled areas of high conservation importance, with greater accuracy associated with locations in existing protected areas. PPGIS data had less positional accuracy when participants identified biological values in urban areas and on non-public lands in general. The PPGIS process did not comprehensively identify all the largest, contiguous areas of high conservation importance in the state, missing about 20% of areas, primarily on small public land units in less densely populated regions of the state. Preferences for increased conservation/protection were over-represented in areas proximate to the Melbourne urban area and under-represented in more remote statewide locations. Our results indicate that if PPGIS data is to be integrated into spatial models for conservation planning, it is important to account for the spatial accuracy and completeness limitations identified in this study (i.e., urban areas, non-public lands, and smaller remote locations). The spatial accuracy and completeness of PPGIS data in this study suggests spatial data quality may be "good enough" to complement biological data in conservation planning but perhaps not good enough to overcome the mistrust associated with crowd-sourced knowledge. Recommendations to improve PPGIS data quality for prospective conservation planning applications are discussed. (C) 2014 Elsevier Ltd. All rights reserved.
机译：使用公众参与GIS（PPGIS）和众包进行保护规划的一个重大障碍是生成的空间数据质量的不确定性。这项研究检查了用于保护规划的PPGIS数据的质量。我们使用来自澳大利亚维多利亚州公共土地的全州研究的经验PPGIS数据，评估空间数据质量，位置准确性和数据完整性的两个维度。我们以维多利亚州的专家为依据的空间保护模型作为基准，以群众身份准确量化和全面确定PPGIS流程中具有高度保护重要性的区域的能力来量化其表现。识别出生物/保护价值的PPGIS点中，约有70％与具有高度保护重要性的模型区域在空间上重合（位置准确），而与现有保护区中的位置相关的准确性更高。当参与者确定市区和一般非公共土地上的生物价值时，PPGIS数据的位置准确性较低。 PPGIS流程并未全面识别出该州所有具有高度保护重要性的最大，连续的地区，而缺少大约20％的地区，主要是在该州人口较少的地区的小型公共土地上。在靠近墨尔本市区的地区，对增加保护/保护的偏爱人数过多，而在偏远的州范围内，偏爱人数较少。我们的结果表明，如果将PPGIS数据集成到用于保护规划的空间模型中，则重要的是要考虑本研究中确定的空间准确性和完整性局限性（即，市区，非公共土地和较小的偏远地区） 。本研究中PPGIS数据的空间准确性和完整性表明，空间数据质量可能“足够好”以补充保护规划中的生物数据，但可能不足以克服与众包知识相关的不信任感。讨论了改善PPGIS数据质量以进行前瞻性保护计划应用的建议。 （C）2014 Elsevier Ltd.保留所有权利。

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