{ "cells": [ { "cell_type": "raw", "metadata": {}, "source": [ "\n", "\n", "\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Ruby-Throated Hummingbird Migration into North America\n", "\n", "\n", "### by Renee Marie Parilak Teate\n", "Data from http://ebird.org/content/ebird/\n", "\n", "*eBird Basic Dataset. Version: EBD_relAug-2015. Cornell Lab of Ornithology, Ithaca, New York. Aug 2015.*\n", "\n", "Python 3.5.1 with pandas 0.17.1, numpy 1.10.4, seaborn 0.7.0\n", "\n", "File with code visible" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### *Questions to be answered: *\n", "- *When can we expect the first Ruby-Throated Hummingbirds to reach X location in their northward migration?*\n", "- *What is the range of the Ruby-Throated Hummingbird by Y date?*" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [], "source": [ "#import libraries needed for this analysis\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "import datetime\n", "from bokeh.plotting import *\n", "from bokeh.models import Range1d" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### This dataset contains over 367,000 Ruby-throated hummingbird sightings from January 2013 to August 2015, capturing 3 years of south-to-north migration" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# read in text file\n", "df = pd.read_csv('ebird_rubythroated_Jan2013_Aug2015.txt', sep='\\t', index_col='GLOBAL UNIQUE IDENTIFIER', \n", " error_bad_lines=False, warn_bad_lines=False, low_memory=False)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Here is an example of all fields in one row of the dataset" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TAXONOMIC ORDER 8896\n", "CATEGORY species\n", "COMMON NAME Ruby-throated Hummingbird\n", "SCIENTIFIC NAME Archilochus colubris\n", "SUBSPECIES COMMON NAME NaN\n", "SUBSPECIES SCIENTIFIC NAME NaN\n", "OBSERVATION COUNT 1\n", "BREEDING BIRD ATLAS CODE NaN\n", "AGE/SEX NaN\n", "COUNTRY Canada\n", "COUNTRY_CODE CA\n", "STATE_PROVINCE New Brunswick\n", "SUBNATIONAL1_CODE CA-NB\n", "COUNTY Charlotte\n", "SUBNATIONAL2_CODE CA-NB-CH\n", "IBA CODE CA-NB_011\n", "BCR CODE 14\n", "ATLAS BLOCK NaN\n", "LOCALITY Castalia Marsh\n", "LOCALITY ID L164896\n", "LOCALITY TYPE H\n", "LATITUDE 44.7242\n", "LONGITUDE -66.7543\n", "OBSERVATION DATE 2013-07-18\n", "TIME OBSERVATIONS STARTED 19:15:00\n", "TRIP COMMENTS Viewed from cabin at Castalia Marsh.\n", "SPECIES COMMENTS NaN\n", "OBSERVER ID obsr298478\n", "FIRST NAME Kris\n", "LAST NAME Ito\n", "SAMPLING EVENT IDENTIFIER S14810638\n", "PROTOCOL TYPE eBird - Stationary Count\n", "PROJECT CODE EBIRD_CAN\n", "DURATION MINUTES 45\n", "EFFORT DISTANCE KM NaN\n", "EFFORT AREA HA NaN\n", "NUMBER OBSERVERS 1\n", "ALL SPECIES REPORTED 1\n", "GROUP IDENTIFIER NaN\n", "APPROVED 1\n", "REVIEWED 0\n", "REASON NaN\n", "Unnamed: 43 NaN\n", "Name: URN:CornellLabOfOrnithology:EBIRD:OBS206154144, dtype: object\n" ] } ], "source": [ "print(df.iloc[2000,:])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We're going to narrow down the data to just location information and observation dates. \n", "#### For this analysis, we only care about the month and year since we're looking for earliest sightings by locality over a 3-year period (not comparing year over year), so we'll create a column that treats all observations as if they happened during one year." ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# narrow dataset down to just columns we need\n", "df_loc_date = df.loc[:,('COUNTRY','STATE_PROVINCE','LOCALITY','COUNTY','LATITUDE','LONGITUDE','OBSERVATION DATE')]\n", "# put the month, year, and date into their own columns\n", "df_loc_date['OBS MONTH'] = df_loc_date['OBSERVATION DATE'].str[5:7].astype(int)\n", "df_loc_date['OBS DAY'] = df_loc_date['OBSERVATION DATE'].str[8:10].astype(int)\n", "df_loc_date['OBS YEAR'] = df_loc_date['OBSERVATION DATE'].str[0:4].astype(int)\n", "# pretend they're all in the same year so we can get earliest month and day and treat like a date\n", "df_loc_date['OBS MONTHDAY'] = '2014-' + df_loc_date['OBSERVATION DATE'].str[5:10].astype(str) \n", "df_loc_date['OBS MONTHDAY'] = pd.to_datetime(df_loc_date['OBS MONTHDAY'])\n", "# add columns for rounded latitude and longitude to make it less granular\n", "df_loc_date['SHORT LAT'] = df_loc_date['LATITUDE'].round(0)\n", "df_loc_date['SHORT LONG'] = df_loc_date['LONGITUDE'].round(0)\n", "\n", "# get the earliest sighting in any year by short long and short lat group\n", "df_first_seen = df_loc_date.loc[:,('SHORT LAT','SHORT LONG','OBS MONTHDAY')].groupby(['SHORT LAT','SHORT LONG']).min()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We made the latitude and longitude data less granular by rounding to the nearest whole-number latitude and longitude.\n", "\n", "#### This gives us fewer points, but we have more data points per 'location\" to calculate minimum date seen. (We don't need to know at the neighborhood level, city/county/region is good enough. Then we'll have more data points per location.)\n", "\n", "### Let's visualize the change of granularity to make sure the result will still be meaningful. \n", "\n", "#### This Seaborn chart shows Latitude 36-39, approximately covering the \"height\" of the state of Virginia.\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAa8AAAGpCAYAAAA6MrkcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "