Application of criminology in urban ecology and evolution: Routine Activity Theory and field equipment disappearance dynamics

Description of data and files structure:

1. DataFB – data on frassboxes
This dataset includes: frassboxes IDs, latitudes (“Lat”), longitudes (“Long”), human presence indexes (“HumanP”), Impervious Surfaces Area percentages (ISA), distances to the closest paths (“Paths”; in meters), distances to closest roads (“Roads”; in meters); tree cover percentages (Tree), cumulative records disappearance (“Stolen_tot”), year of study (“Year”), binary records of items disappearance (“stolen_ever”), tree cover categorized as “High” or “Low” based on the median value of the full dataset (“TreeLev”)

2. DataNestBoxes – data on nestboxes
This dataset includes: nestboxes IDs, latitudes (“Lat”), longitudes (“Long”), study site where the nestbox is located (“Site”), human presence indexes (“HumanP”), Impervious Surfaces Area percentages (ISA), distances to the closest paths (“Paths”; in meters), distances to closest roads (“Roads”; in meters); tree cover percentages (Tree), height at which the nestbox is installed (“Height”), cumulative records disappearance (“stolen_sum”), binary records of items disappearance (“stolen_ever”), year of study site set up (“Install_Year”), tree cover categorized as “H” (high) or “L” (low) based on the median value of the full dataset (“TreeLev”)

3. NoveltyData – dataset used for the “novelty” analysis
This dataset includes: frassboxes IDs, study site where the frassbox was located (“Site”), year of study (“Year”), number of days since the frassboxes were set up in a given year (“Age”), record of whether the frassbox disappeared or not in between checks (“Stolen”)

Description of codes:

1. Labels_chi_Application:
Chi-squared test for the effect of labels on nestboxes and frassboxes disappearance

2. Data_preparation_Application
Preparation of data on nestboxes and data on frassboxes for further analysis (libraries, transformations)

3. Data_analysis_Application
The whole data analysis process for environmental drivers of scientific equipment disappearance across the urban mosaic (both for frassboxes and nestboxes)
Code for a plot of probability of nestbox disappearance and human presence interaction with tree cover (Figure 5 in the main file)
Code for a plot of probability of frassbox disappearance and human presence interaction with tree cover (Figure 6 in the main file)

4. Novelty_analysis_Application
The whole data analysis process for novelty effect on frassboxes disappearance (both for frassboxes and nestboxes); the code includes comments explaining the process

5. Novelty_plot_Application
Code for the “novelty” plots (Figure 7 in the main file)

6. PCAs_Application
Code for the Principal Component Analysis (PCA) of environmental variables measured at each frassbox (Figure S2(a) in the supplementary information file)
Code for the Principal Component Analysis (PCA) of environmental variables measured at each frassbox (Figure S2(b) in the supplementary information file)

All of the codes include comments explaining the processes

数据与文件结构说明：
1. 虫粪收集盒（frassboxes）数据集（DataFB）
本数据集包含以下字段：虫粪收集盒编号、纬度（"Lat"）、经度（"Long"）、人类活动强度指数（"HumanP"）、不透水面面积占比（ISA）、至最近步道的距离（"Paths"，单位：米）、至最近道路的距离（"Roads"，单位：米）、树木覆盖占比（Tree）、累计丢失记录数（"Stolen_tot"）、研究年份（"Year"）、物品是否丢失的二分类标记（"stolen_ever"）、基于全数据集中位数划分的树木覆盖等级（"TreeLev"，分为"High"高、"Low"低两类）。
2. 巢箱（nestboxes）数据集（DataNestBoxes）
本数据集包含以下字段：巢箱编号、纬度（"Lat"）、经度（"Long"）、巢箱所在研究样地（"Site"）、人类活动强度指数（"HumanP"）、不透水面面积占比（ISA）、至最近步道的距离（"Paths"，单位：米）、至最近道路的距离（"Roads"，单位：米）、树木覆盖占比（Tree）、巢箱安装高度（"Height"）、累计丢失记录数（"stolen_sum"）、物品是否丢失的二分类标记（"stolen_ever"）、研究样地设立年份（"Install_Year"）、基于全数据集中位数划分的树木覆盖等级（"TreeLev"，分为"H"高、"L"低两类）。
3. 新颖性分析数据集（NoveltyData）
本数据集包含以下字段：虫粪收集盒编号、虫粪收集盒所在研究样地（"Site"）、研究年份（"Year"）、虫粪收集盒当年度设置后的天数（"Age"）、两次监测期间虫粪收集盒是否丢失的记录（"Stolen"）。

代码说明：
1. Labels_chi_Application：用于检验标签对巢箱与虫粪收集盒丢失情况影响的卡方检验代码。
2. Data_preparation_Application：用于巢箱与虫粪收集盒数据集的预处理代码（涵盖依赖库加载、数据转换流程）。
3. Data_analysis_Application：用于探究城市镶嵌格局中科研设备丢失的环境驱动因子的全流程分析代码（涵盖虫粪收集盒与巢箱两类设备）；包含主文件图5的绘制代码——巢箱丢失概率与人类活动强度、树木覆盖的交互效应可视化代码；包含主文件图6的绘制代码——虫粪收集盒丢失概率与人类活动强度、树木覆盖的交互效应可视化代码。
4. Novelty_analysis_Application：用于探究新颖性效应对虫粪收集盒丢失影响的全流程分析代码（涵盖虫粪收集盒与巢箱两类设备）；代码内附详细流程注释说明。
5. Novelty_plot_Application：用于绘制"新颖性"相关可视化结果的代码，对应主文件中的图7。
6. PCAs_Application：用于对各虫粪收集盒的环境变量开展主成分分析（Principal Component Analysis, PCA）的代码，对应补充材料中的图S2(a)；用于对各虫粪收集盒的环境变量开展主成分分析（PCA）的代码，对应补充材料中的图S2(b)。

所有代码均包含详细的流程注释说明。