Code&Data

Figshare2024-04-17 更新2026-04-28 收录

空间自相关分析

交叉验证

数据链接：

https://figshare.com/articles/dataset/Code_Data/25623414 数据链接链接失效反馈

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资源简介：

Code and data for "Exploring the impact of spatial autocorrelation on general cross-validation and the effectiveness of spatial cross-validation".

创建时间：

2024-04-17

Results of 5 fold cross validation: average AUC and AUPR over 5 runs.

性能评估

交叉验证

Standard deviation is reported between parentheses. The best AUC and AUPR results are indicated in bold, results that are not significantly different from the best (at ) are indicated in italic.

NIAID Data Ecosystem90

Moran's I all points

空间自相关分析

动物栖息地评估

Data for use in Moran's I analysis. For each Hudsonian Godwit nest located between 2014-2016 and 25 associated random points, the locations (Latitude & Longitude, Easting & Northing) of the vegetation

DataONE2018-03-05 更新50

CheetahClock sex LOOCV.

生物性别预测

交叉验证

Results from CheetahClock for sex leave-one-out cross-validation (LOOCV) on liver and blood samples. (CSV)

Figshare2026-01-13 更新20

Code and selected data for article "Choosing blocks for spatial cross-validation: Lessons from a marine remote sensing case study"

交叉验证

海洋遥感

Code and selected data for testing how much block size, shape, number of folds, and other factors affect error estimates from spatial block cross-validation. Supplement to the article: Stock, A. (2925

DataCite Commons2025-03-19 更新70

Ordinary least squares regression models parameters and variation explained (R2) by topographic, vegetation and environmental variables as regressor for all vertebrates and for endemic and threatened species richness in Colima, Mexico.

物种丰富度建模

空间自相关分析

Spatial correlation test: M = Moran’s index, z = z-score.

NIAID Data Ecosystem20