Omelettee/penguin_population_analysis

This project is designed to reveal the relationship between penguin population and environmental factors

Penguin Population Analysis

• This project is designed to reveal the relationship between penguin population and environmental factors
  
  

1. DESCRIPTION - Describe the package in a few paragraphs.

The model code is contained within CODE/data/Model The model.py is written with Python, the packages are listed following:

• from pandas import DataFrame
• import pandas as pd
• from matplotlib import pyplot
• import random
• from scipy.stats.stats import pearsonr
• import matplotlib.pyplot as plt
• from sklearn.model_selection import cross_validate, train_test_split,GridSea
• from sklearn.metrics import accuracy_score
• from sklearn.linear_model import LinearRegression
  
  

2. Implement Model

Run the model.py in the folder of “model” with command :

• python model.py
• All the data needed is stored in the folder “data_original” - the same layer with model.py
  
  

3. Implement Visualization

The visualization is contained within directory CODE. To run visualization:

• 1. Install QGIS 3.0 software from https://qgis.org/en/site/ to run this visualization. This is a scientific plotting software that is created for visualizing map and model data across many different sources.
• 2. Select AntarcticDataMap_QGIS3.qgs
• 3. Select desired layer from "gentoo" "adellie" "emperor" or "chinstrap" to view by choosing the radio button in the Layer pallette.
• 4. To choose a year:
  • Right click on layer in the layer pallete.
  • In the dialog box, edit the current year to the desired year.
  • If you want to view a range of years you can use this command:
  • "year" = 1990 AND "year" = 2000
  • Each layer must be edited individually.
• 5. Additional layers from ADD can be sourced using the following:
  • Use ADD to map with QGIS database program and import using the WMS/WMTS layer add menu option.
  • Use the following URL to connect and add layers: https://maps.bas.ac.uk/wmts?request=GetCapabilities
  • Add resource: https://add.data.bas.ac.uk/repository/entry/show?entryid=f477219b-9121-44d6-afa6-d8552762dc45&ascending=true&orderby=createdate&showentryselectform=true (This is similar to the layers added on here: https://www.add.scar.org/)