popovs

## BEAUTIFUL GULL MAPS! ##
# @srharacha on Twitter: https://twitter.com/srharacha/status/1662648523597418501?s=20

# Step 1: download the data
# We're going to download study number 986040562, our 
# herring gull data, using the `move` package. You'll
# need a Movebank username and password to download it.
library(move)

# We only want to download the track for one bird - the

popovs

# Interactive Wild Turkey (Meleagris gallopavo, B-WITU) map

# 00 SETUP ====

library(magrittr) # for %>%

# Set up reproducible renv environment so anyone using this code
# will achieve the same result, regardless of machine

# This means any libraries I download now will also be downloaded

popovs

from contextlib import closing
from io import StringIO
from time import time

import pandas as pd
from django.core.management.base import BaseCommand
from django.db import transaction
from faker import Faker

from core.models import Thing

popovs

## Example procedure for working with data (attributes) inside SpatialPolygonsDataFrame objects

# Load my favorite libraries for that sort of work
library(data.table)
library(rgdal)

# Load 2 shapefiles that, say, we want to merge.
# Note that you can read pretty much any spatial format using readOGR().
tza.l2 <- readOGR("./analysis/TZA-AC-07/maps", "tza-ac-07_L2")
tza.l1 <- readOGR("./analysis/TZA-AC-07/maps", "tza-ac-07_L1")

popovs

# ======================================================================================
# Create a simple world map in Robinson projection with labeled graticules using ggplot
# ======================================================================================

# Set a working directory with setwd() or work with an RStudio project

# __________ Set libraries
library(rgdal)      # for spTransform() & project()
library(ggplot2)    # for ggplot()