species_habitat_models_4_urban_devs

Hello, Here are the data & code to reproduce outputs reported in Cooper et al., 2022: Using species-habitat models to predict bird counts from urban development plans. The uploaded data includes GIS maps of each development for each scenario & code to reproduce the predictions figures & tables reported in the paper. The models are based upon Plummer et al., 2020. For data relating to the models, please see https://doi.org/10.1111/1365-2664.13703. The code & shapefiles to convert developments into model metrics are substantial in size and require licensed Land Cover Map 2007 & OS MasterMap 2010. Please contact [e-mail] if this is required. scen is a folder seperating all 6 scenario dataset (baseline & 5 manipulations). Scenario_List.xlsx contains the manipulations applied to the baseline to produce the scenarios. Each folder contains: a zip folder containing the shapefile of all developments devdets.Rdata which gives the raw metrics for the developments urbandf.Rdata which gives the normalised metrics for the development relative to the wider dataset used in Plummer et al 2020 Models.Rdata = The models used in Plummer et al., 2020 Plummer2020_JApplEcol_data.RData = The dataframe of covariates used in Plummer et al., 2020 to produce those models predictions_code.Rdata = script to assess urbandf in a loop to produce the outputs, figures & tables reported. 20_rebuild_new_developments.R = The code used to turn shapefiles of a development merged with LCM & OSMM into the input metrics for the model

您好，以下为可复现Cooper等人2022年发表论文成果的数据与代码：该论文题为《基于物种-生境模型从城市开发规划中预测鸟类数量》。本次上传的数据包含各情景下所有开发项目的地理信息系统（Geographic Information System, GIS）地图，以及可复现论文中报告的预测结果、图表与表格的代码。本研究所用模型基于Plummer等人2020年的研究成果。若需获取与该模型相关的数据，请访问：https://doi.org/10.1111/1365-2664.13703。用于将开发项目转换为模型指标的代码与形状文件（shapefile）体量较大，且需使用授权版2007年土地覆盖图（Land Cover Map 2007）与2010年OS MasterMap数据。若需使用此类授权数据，请联系[e-mail]。scen文件夹用于区分全部6个情景数据集（含1个基线情景与5个调控情景）。Scenario_List.xlsx文件记录了为生成各情景而对基线情景所做的调控操作。每个情景文件夹均包含以下内容：
1. 压缩包：内含所有开发项目的形状文件（shapefile）；
2. devdets.Rdata：存储开发项目原始指标的数据集；
3. urbandf.Rdata：存储基于Plummer等人2020年研究的更广数据集归一化后的开发项目指标；
4. Models.Rdata：Plummer等人2020年研究中使用的模型文件；
5. Plummer2020_JApplEcol_data.RData：Plummer等人2020年研究中用于构建上述模型的协变量数据框；
6. predictions_code.Rdata：用于循环处理urbandf数据以生成论文中报告的结果、图表与表格的脚本；
7. 20_rebuild_new_developments.R：用于将融合了土地覆盖图（Land Cover Map, LCM）与OS MasterMap（OSMM）数据的开发项目形状文件转换为模型输入指标的代码。