Data from: Bias correction of bounded location errors in presence-only data

1. Location error occurs when the true location is different than the reported location. Because habitat characteristics at the true location may be different than those at the reported location, ignoring location error may lead to unreliable inference concerning species-habitat relationships.
2. We explain how a transformation known in the spatial statistics literature as a change of support (COS) can be used to correct for location errors when the true locations are points with unknown coordinates contained within arbitrary shaped polygons.
3. We illustrate the flexibility of the COS by modeling the resource selection of Whooping Cranes (Grus americana) using citizen contributed records with locations that were reported with error. We also illustrate the COS with a simulation experiment.
4. In our analysis of Whooping Crane resource selection, we found that location error can result in up to a five-fold change in coefficient estimates. Our simulation study shows that location error can result in coefficient estimates that have the wrong sign, but a COS can efficiently correct for the bias.

1. 当真实点位与报告点位不一致时，即产生点位误差（location error）。由于真实点位处的生境特征与报告点位处的生境特征往往存在差异，若忽略点位误差，可能会导致物种-生境关联关系相关统计推断的可靠性下降。
2. 本文阐释了空间统计学文献中所称的支撑域变换（change of support, COS），该方法可在真实点位为坐标未知且被包含于任意形状多边形内的点时，用于校正点位误差。
3. 本研究通过采用存在点位报告误差的公民科学观测记录，对美洲鹤（Grus americana）的资源选择行为进行建模分析，以此展示支撑域变换的灵活性；同时还通过模拟试验验证了该方法的应用效果。
4. 在针对美洲鹤资源选择行为的分析中，我们发现点位误差可导致系数估计值出现最高达五倍的幅度变化；模拟试验结果表明，点位误差还会使系数估计值出现符号错误的情况，但支撑域变换可有效校正这类偏差。