| 来源类型 | Article
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| 规范类型 | 其他
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| DOI | 10.3390/rs10030376
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| An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource. |
| Salk C; Fritz S; See L; Dresel C; McCallum I
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| 发表日期 | 2018
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| 出处 | Remote Sensing 10 (3): p. 376
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| 出版年 | 2018
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| 语种 | 英语
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| 摘要 | A variety of metrics are commonly employed by map producers and users to assess and compare thematic maps’ quality, but their use and interpretation is inconsistent. This problem is exacerbated by a shortage of tools to allow easy calculation and comparison of metrics from different maps or as a map’s legend is changed. In this paper, we introduce a new website and a collection of R functions to facilitate map assessment. We apply these tools to illustrate some pitfalls of error metrics and point out existing and newly developed solutions to them. Some of these problems have been previously noted, but all of them are under-appreciated and persist in published literature. We show that binary and categorical metrics, including information about true-negative classifications, are inflated for rare categories, and more robust alternatives should be chosen. Most metrics are useful to compare maps only if their legends are identical. We also demonstrate that combining land-cover classes has the often-neglected consequence of apparent improvement, particularly if the combined classes are easily confused (e.g., different forest types). However, we show that the average mutual information (AMI) of a map is relatively robust to combining classes, and reflects the information that is lost in this process; we also introduce a modified AMI metric that credits only correct classifications. Finally, we introduce a method of evaluating statistical differences in the information content of competing maps, and show that this method is an improvement over other methods in more common use. We end with a series of recommendations for the meaningful use of accuracy metrics by map users and producers |
| 主题 | Ecosystems Services and Management (ESM)
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| 关键词 | thematic maps
map accuracy
map comparison
overall accuracy
Cohen’s Kappa
producers accuracy
users accuracy
average mutual information
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| URL | http://pure.iiasa.ac.at/id/eprint/15185/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131365
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推荐引用方式
GB/T 7714 |
Salk C,Fritz S,See L,et al. An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource.. 2018.
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文件名：
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remotesensing-10-00376.pdf
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格式：
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Adobe PDF
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