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. DataFB——粪盒（frassboxes）数据集 该数据集包含以下字段：粪盒编号、纬度（"Lat"）、经度（"Long"）、人类活动指数（"HumanP"）、不透水面面积占比（ISA）、至最近路径的距离（"Paths"；单位：米）、至最近道路的距离（"Roads"；单位：米）、树木覆盖占比（Tree）、累计消失记录数（"Stolen_tot"）、研究年份（"Year"）、物品消失二元标签（"stolen_ever"）、基于全数据集中位数划分的树木覆盖等级（"TreeLev"，分为"High"与"Low"两类）。
2. DataNestBoxes——巢箱（nestboxes）数据集 该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"）、人类活动指数（"HumanP"）、不透水面面积占比（ISA）、至最近路径的距离（"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"）、累计消失记录数（"stolen_sum"）、物品消失二元标签（"stolen_ever"）、研究样地安装年份（"Install_Year"）、基于全数据集中位数划分的树木覆盖等级（"TreeLev"，分为"H"代表高覆盖、"L"代表低覆盖）。
3. NoveltyData——用于"新颖性"分析的数据集 该数据集包含以下字段：粪盒（frassboxes）编号、粪盒所在研究样地（"Site"）、研究年份（"Year"）、粪盒在当年设置后的存活天数（"Age"）、两次巡检间粪盒是否消失的记录（"Stolen"）。

代码说明：
1. Labels_chi_Application：用于检验标签对巢箱与粪盒消失影响的卡方检验（Chi-squared test）代码。
2. Data_preparation_Application：用于预处理巢箱与粪盒数据以支撑后续分析的代码（包含依赖库加载、数据转换流程）。
3. Data_analysis_Application：针对城市镶嵌格局下科研设备消失的环境驱动因子开展全流程数据分析的代码（涵盖粪盒与巢箱两类设备）；包含主文件中图5的"巢箱消失概率与人类活动、树木覆盖交互作用"绘图代码；包含主文件中图6的"粪盒消失概率与人类活动、树木覆盖交互作用"绘图代码。
4. Novelty_analysis_Application：针对粪盒消失的新颖性效应开展全流程数据分析的代码（涵盖粪盒与巢箱两类设备）；代码内嵌对分析流程的详细注释。
5. Novelty_plot_Application：用于生成"新颖性"相关可视化图表的代码（对应主文件中的图7）。
6. PCAs_Application：包含两类主成分分析（PCA）代码：其一为针对单粪盒采集的环境变量的主成分分析代码（对应补充材料中的图S2(a)）；其二为针对单粪盒采集的环境变量的主成分分析代码（对应补充材料中的图S2(b)）。

所有代码均包含对分析流程的注释说明。