Data from: Robust inference on large-scale species habitat use with interview data: the status of jaguars outside protected areas in Central America
收藏Mendeley Data2024-06-25 更新2024-06-29 收录
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https://datadryad.org/stash/dataset/doi:10.5061/dryad.jk6rf
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资源简介:
Jaguar Model Main CodeR code to build models of jaguar habitat use, with and without false positives, using JAGSJaguarModel_MainCode_forDryad.RCross-validation Main CodeR code for two cross-validation methods used for our data: one novel method that seeks to replicate the observation process, leading to percent accuracy & probabilities of omission and commission, and the other method (based on Hooten & Hobbs 2015 and Miller & Grant 2015) that tests whether deviance is reduced via inclusion of hierarchical structure. Both methods implemented in JAGS.CrossVal_MainCode_forDryad.RCorridor ID.csv with Corridor IDCorridor_Max6_FP.csvEffort.csv with Effort data (% of year spent in sampling unit)Field Season ID.csv with Field Season IDFieldSeason.csvJaguar Detection HistoryData re: whether or not a jaguar or jaguar sign had been seen by the interviewee in the given sampling unit. Sampling units are rows, interview replicates are columns.Jaguar_Max6_FP.csvMore Than FourData corresponding to whether or not >4 interviews were conducted in the unit (1/0)MoreThanFour_v3.csvSite CovariatesAll site covariates considered in the analysis. Summarized at sampling unit level.SiteCovariates.csv
### 美洲豹模型主代码
本代码为R脚本,用于构建美洲豹栖息地利用模型,可分别设置包含或排除假阳性(false positives)场景,基于JAGS(Just Another Gibbs Sampler)实现。对应文件为:JaguarModel_MainCode_forDryad.R
### 交叉验证主代码
本代码为R脚本,用于实现本研究数据的两种交叉验证(cross-validation)方法:其一为原创方法,旨在复现观测过程,可输出准确率百分比、漏检概率与误判概率;其二基于Hooten与Hobbs 2015年、Miller与Grant 2015年的研究成果,用于检验引入分层结构(hierarchical structure)是否可降低偏差(deviance)。两种方法均通过JAGS实现。对应文件为:CrossVal_MainCode_forDryad.R
### 廊道ID数据集
包含廊道标识信息,对应文件为:Corridor_Max6_FP.csv
### 采样投入数据集
记录各采样单元的年内采样时长占比,对应文件为:Effort.csv
### 野外季ID数据集
包含野外季标识信息,对应文件为:FieldSeason.csv
### 美洲豹探测历史数据集
记录受访者在指定采样单元内是否观测到美洲豹或其活动痕迹,其中采样单元以行表示,访谈复本以列表示。对应文件为:Jaguar_Max6_FP.csv
### 超四次访谈数据集
标记各采样单元是否开展了4次以上访谈(开展记为1,未开展记为0),对应文件为:MoreThanFour_v3.csv
### 样地协变量数据集
包含本分析中用到的全部样地协变量,已按采样单元进行汇总整理。对应文件为:SiteCovariates.csv
创建时间:
2023-06-28



