Wildlife Management | R-Bloggers

Open Analytics often receives requests to visualize and summarize data from multiple data sources in a user -friendly way. Most of these projects result in internal applications, while projects for government institutions generally result in publicly available web applications. A nice example is faunabeheer.inbo.be, developed for the Research Institute for Nature and Forest (Inbo) and the Bureau for Nature and Forests (ANB) Respond to questions from (local) authorities, country managers, hunters, researchers, journalists, citizens and farmers.

This website summarizes data together e-lock in Flora by ANB, enriched with measurements from Inbo on collected samples (eg lower jaws and uterus),
Observation.be at natural point and
WilderAn application from Hubertus Vereniging Vlaanderen. It visualizes the results for all large games and other species that are relevant to nature management in the Flemish region. The visualisations are grouped in categories and subcategories for simple navigation. Although the user can also navigate directly to a specific visualization and share the route to that visualization using the URL. Once a species has been selected, the visualization choices are limited to those with available data.

As an example, the map for the management of wild boar in the Flemish region is shown below (htts))

It visualizes the number of wild boar that has been shot per year and per selected region (eg municipality, province or 5 × 5 utm foursmans). When selecting a specific area, the reported number of animals shot is displayed as a pop -up in the map and in a trend plot for the chosen period.

Other visualizations include – summary statistics on (the management of) populations of wild animals such as wild boar, roe deer, fallowed deer and other species – interactive maps with current and future spread data – graphs to indicate the population status (eg no. no. Figuren of the number of embryos of the number of embryos of the number of embryos of the number of embryos of the number of embryos, of the number of embryos, of the number of embryos, of the number of embryos, of the number of enatal of the number of embrys, of the number of embryos, of the number of enormuren of the number of enatopes, of the number of enfalated weight). The public support of public support for public support for public support for public support for public support for public support for public support for public support for public support for public support for public support for public support for public damage.

Each visualization is set in a modular way to share the same functionalities: relevant data filtering and/or visualization options, a brief description and the option to download the Plot & Unprocessed data behind the graph to guarantee full transparency for the end user.

The online application has been developed in line with our best practices for R/Glossy and hosted by a
Shinyproxy Server. The application is automatically implemented with the help of Github Actions Workflows. All Code of the R-Package reportingGrofwild is available on
GirubIncluding technical documentation and integrated automated tests. The data is collected from Amazon S3 buckets to separate data updates from Application development. Two parallel streams have been set up: a development and production environment for both the data and the source code, which makes simple and thorough tests possible before each software release. Switching between environments is made easy with the R-package
config In combination with a
container-env For “r_config_active” in shiny proxy.

References

Inbo Post on LinkedIn:
https://www.linkedin.com/posts/inbo-research-institute-or-natuur-and-forest_faunabeheer-grofwild-Wildbeheer-Activity-7343910931208257540-6ehi.

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