Beavers and Botany

Background

A study of the effects of the introduction of beavers on botanical biodiversity. Beavers were reintroduced to the Spains Hall Estate in 2019 as part of a program of nature recovery and natural flood reduction. Since then the beavers have started a family and transformed their environment to suit their needs. Every year a botanical survey has been conducted to monitor how the botany of the beaver introduction site has been transformed under beaver management.

Objectives

1. Evaluate techniques for monitoring the effects of beaver introductions.
2. Create a model to predict the timeline for the effects of beaver introductions.
3. Create an automated tool for predicting moisture and light levels from digital images.

Data and Analysis

To use Rstudio run rserver in the VSCode terminal.

Documents at https://joejcollins.github.io/atlanta-shore/.

To Do

• Test data files, 2 files, 1 observation in one and 2 in the other.
• Test images, 6 images for the 3 observations.
• def raw_observation_file_finder(start_path: str) -> List[str]:
  • test to find files in the data directory.
• class RawObservationFileReader:
  • def init(self, file: file):
    • takes a file not a path to the file.
  • def next(self) -> str:
    • returns next observation up to end of species list.
• class Observation(pydantic.BaseModel):
  • validates fields
  • def csv_headers(self) -> str:
  • def to_csv(self) -> str:
• def parse_raw_observation(raw_observation: str) -> dict:
  • return a dict with the fields of the observation ready fo Pydantic.