Rating crowdsourced annotations: evaluating contributions of variable quality and completeness

Foody, Giles M.

doi:10.1080/17538947.2013.839008

Cited by 13 publications

(9 citation statements)

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“…Our current version of database should be seen as a first reference point to provide quantitative and qualitative information of limestone hills in Peninsular Malaysia that can assist users to verify and build upon (e.g. Foody, 2014). We acknolwedge that our database may not have had a rigorous ground-truthing of data quality to be considered a ‘final’ map because there are many hills that still require further verification.…”

Section: Resultsmentioning

confidence: 99%

Using Google Earth to improve management of threatened limestone karst ecosystems in Peninsular Malaysia

Liew

Price²,

Gopalasamy

2016

Preprint

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15Biodiversity conservation is now about prioritisation, especially in a world with limited 16 resources and so many habitats and species in need of protection. However, we cannot 17 prioritise effectively if historical and current information on a particular habitat or species 18 remains scattered. Several good platforms have been created to help users to find, use and 19 create biodiversity information. However, good platforms for sharing habitat information 20 for threatened ecosystems are still lacking. Limestone hills are an example of threatened 21 ecosystems that harbour unique biodiversity, but are facing intensifying anthropogenic 22 35 this database is a foundational platform for users to collect, store, update and manipulate 36 spatial and biological data from limestone hills to better inform decisions regarding their 37 management. 38 39 45 different ecosystems, such as forests, rivers and lakes, can now be detected and be mapped 46 effectively. Ecosystems that have yet to be adequately mapped include limestone hills in 47

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Section: Resultsmentioning

confidence: 99%

Using Google Earth to improve management of threatened limestone karst ecosystems in Peninsular Malaysia

Liew

Price²,

Gopalasamy

2016

Preprint

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“…Similarly, See et al () employed this method to evaluate the accuracy and consistency of volunteers when labeling land cover and determining the human impact on the environment. In contrast, Foody () explored the redundancy of contributions to situations in which a large proportion of data is provided by poor sources and/or is incomplete.…”

Section: Taxonomy Of Quality Assessment Methodsmentioning

confidence: 99%

A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

Degrossi

Albuquerque

Rocha

et al. 2018

Transactions in GIS

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The growing use of crowdsourced geographic information (CGI) has prompted the employment of several methods for assessing information quality, which are aimed at addressing concerns on the lack of quality of the information provided by non‐experts. In this work, we propose a taxonomy of methods for assessing the quality of CGI when no reference data are available, which is likely to be the most common situation in practice. Our taxonomy includes 11 quality assessment methods that were identified by means of a systematic literature review. These methods are described in detail, including their main characteristics and limitations. This taxonomy not only provides a systematic and comprehensive account of the existing set of methods for CGI quality assessment, but also enables researchers working on the quality of CGI in various sources (e.g., social media, crowd sensing, collaborative mapping) to learn from each other, thus opening up avenues for future work that combines and extends existing methods into new application areas and domains.

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“…[45]). We acknowledge that our data lacked rigorous enough ground-checking for the map to be considered final: there are many hills that require further verification.…”

Section: Implications For Conservationmentioning

confidence: 99%

Using Google Earth to Improve the Management of Threatened Limestone Karst Ecosystems in Peninsular Malaysia

Liew

Price

Clements

2016

Tropical Conservation Science

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In a world of limited resources and so many species and habitats in need of protection, informed prioritization is essential. However, we cannot prioritize effectively if historical and current information regarding a particular habitat or species remains scattered. Several good platforms have been created to help users find, use and create biodiversity information. However, good platforms for sharing habitat information for threatened ecosystems are still lacking. Limestone hills are an example of threatened ecosystems that harbor unique biodiversity, but are facing intensifying anthropogenic disturbances. As limestone is a vital resource for the construction industry, it is not possible to completely halt forest degradation and quarrying in developing countries such as Malaysia, where 445 limestone hills have been recorded in the peninsula to date. As such, there is an urgent need to identify which hills must be prioritized for conservation. To make decisions based on sound science, collating spatial and biological information on limestone hills into a publicly accessible database is critical. Here, we compile Malaysia's first limestone hill GIS map for 445 limestone hills in the peninsula, based on information from geological reports and scientific literature. To assist in conservation prioritization efforts, we quantified characteristics of limestone hills in terms of size, degree of isolation, and spatial distribution patterns. We also assessed the degree of habitat disturbance in each limestone hill in terms of buffer area forest degradation and quarrying activity. These data are stored in a KMZ file and can be accessed through the Google Earth interface. Rather than being viewed as a final output containing basic limestone hill information, this database should be regarded as a foundational platform for users to collect, store, update and manipulate spatial and biological data from limestone hills to better inform decisions regarding their management.

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Rating crowdsourced annotations: evaluating contributions of variable quality and completeness

Cited by 13 publications

References 50 publications

Using Google Earth to improve management of threatened limestone karst ecosystems in Peninsular Malaysia

Using Google Earth to improve management of threatened limestone karst ecosystems in Peninsular Malaysia

A taxonomy of quality assessment methods for volunteered and crowdsourced geographic information

Using Google Earth to Improve the Management of Threatened Limestone Karst Ecosystems in Peninsular Malaysia

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