Data and model code accompanying publication - The crane radar: development and deployment of an operational eco-digital twin.

The data files presented here accompany the publication of the manuscipt "The crane radar: development and deployment of an operational eco-digital twin." in Ecological Informatics. The presented model code 'app.R' and 'cranes-lib.R' is a snapshot of the crane radar (https://sensingclues.org/craneradar) model code at the time of publication. Changes to the model code may have occured after publication of these files, which will not be updated here. The R files give insight in the processes and functions that are built to run the crane radar digital twin. The 'app.R' represents the shiny app that runs on a server, but can also run locally on a PC. The 'cranes-lib.R' contains supporting functions that are called from the 'app.R' file. Note however that the required API connections to obtain the wind forecast data from the KNMI data platform and the crane observations from observation.org are not included in these files, because it contains specific credentials and passwords that belong to a private account of the author(s). To gain access to these API's, please contact the owners of the KNMI data platform (https://dataplatform.knmi.nl/about) and Observation International (https://waarneming.nl/api/v1/docs/).<br>In order to run the 'app.R' file, please create a new folder called 'www' in the folder with the R files and insert the following files in the 'www' folder:logo-waarneming-nl.svglogo_white.pngstyle.css<br>The following files represent icons that are used for visualisation of the crane observations and the predicted locations of cranes on a leaflet map in R:crane_icon spring.pngwaarneming_icon.pngcrane_icon autumn.png<br>For more assisstance on using and running the crane radar, please contact Koen de Koning ([e-mail]) or Melanie Arp ([e-mail]).<br>The word files (.doc) are anonymised interviews with birdwatchers that give more insights in how bird watchers in the Netherlands observe and report crane migration sightings to waarneming.nl, and what their interaction is with the crane radar.

本数据集配套发表于《生态信息学（Ecological Informatics）》期刊的手稿《鹤类雷达（crane radar）：可运行的生态数字孪生系统的开发与部署》。
本次提供的模型代码`app.R`与`cranes-lib.R`，为论文发表时鹤类雷达模型代码的快照版本，该模型的官方仓库地址为https://sensingclues.org/craneradar。本数据集发布后，模型代码可能已有更新，本仓库将不再同步更新。
这两个R脚本文件阐释了支撑鹤类雷达数字孪生系统运行的各类流程与函数。其中`app.R`为运行于服务器的Shiny应用，也可在个人电脑本地运行；`cranes-lib.R`则包含`app.R`所调用的各类辅助函数。
需注意，本数据集未包含从KNMI数据平台获取气象预报数据、以及从observation.org获取鹤类观测数据所需的API连接配置，因其中包含作者私人账户的专属凭证与密码。若需获取这些API的访问权限，请分别联系KNMI数据平台（https://dataplatform.knmi.nl/about）与国际观测平台（Observation International，https://waarneming.nl/api/v1/docs/）的运营方。
若需运行`app.R`文件，请先在存放R脚本的文件夹中新建名为`www`的子文件夹，并将以下文件放入该`www`目录：logo-waarneming-nl.svg、logo_white.png、style.css。
以下文件为用于可视化展示鹤类观测数据与鹤类预测迁徙点位的图标，将在R语言的Leaflet地图中使用：crane_icon spring.png、waarneming_icon.png、crane_icon autumn.png。
若需获取关于鹤类雷达的使用与运行的更多协助，请联系科恩·德·孔宁（[e-mail]）或梅兰妮·阿尔普（[e-mail]）。
本数据集附带的Word文件（.doc）为匿名化后的观鸟者访谈记录，可进一步阐释荷兰观鸟者如何在waarneming.nl平台上观察并记录鹤类迁徙目击数据，以及他们与鹤类雷达的互动情况。