Merge pull request #259 from dphow/master

Fixes issue #224 - Adds Kobe, Japan and South Bend, IN as hometowns

0-csv-files/japan-kobe.csv

@@ -0,0 +1,2 @@
+who (OPTIONS: cu-student; certificate-student; other), type, country, state, city, latitude, longitude
+certificate-student, place I lived,Japan,Hyogo,Kobe,34.689999,135.195557

0-csv-files/united_states-south_bend.csv

@@ -0,0 +1,2 @@
+who (OPTIONS: cu-student; certificate-student; other), type, country, state, city, latitude, longitude
+certificate-student, place I lived,United States,Indiana,South Bend,41.676388,-86.250275

Japan/hyogo/kobe/kobe-japan.ipynb

@@ -0,0 +1,44 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "27994367-a833-4e7f-a88c-58efceb23815",
+   "metadata": {},
+   "source": [
+    "## Location\n",
+    "34°41′24″N, 135°11′44″E\n",
+    "\n",
+    "## Population\n",
+    "1,537,272\n",
+    "Kōbe, Hyōgo Prefecture, Japan - Population per [University of Tokyo UAE (Urban Employment Area) data](http://www.csis.u-tokyo.ac.jp/UEA/uea_code_e.htm)\n",
+    "\n",
+    "## Landmark\n",
+    "![RIKEN Center for Computational Science](https://upload.wikimedia.org/wikipedia/commons/f/fd/RIKEN_AICS_20120810-001.jpg)\n",
+    "On Port Island, south of the central Sannomiya Station, is the [RIKEN Center for Computational Science (R-CCS)](https://www.r-ccs.riken.jp/en/) which is home to the Fugaku supercomputer. Fugaku, and its predecessor K Computer, were both featured on the [top500.org](https://top500.org/) list of fastest computers in the world at various points in time.\n",
+    "\n",
+    "Also notable in Kobe is the [Nada-ku ward](https://en.wikipedia.org/wiki/Nada-ku,_Kobe) of the city, which is a major sake producer for the country. You can find the Sawanotsuru Sake Museum in this ward, which was re-built to be earthquake proof in 1999 following the [Great Hanshin Earthquake](https://en.wikipedia.org/wiki/Great_Hanshin_earthquake) or Kobe Earthquake of 1995."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "EA-Course",
+   "language": "python",
+   "name": "earth-analytics-python"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

united-states/indiana/south-bend/south_bend-in.ipynb

@@ -0,0 +1,53 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8f8677fe-eda7-497d-a21f-d378344f2beb",
+   "metadata": {},
+   "source": [
+    "## Location\n",
+    "41°40′35″N, 86°15′01″W\n",
+    "\n",
+    "## Population\n",
+    "103,453\n",
+    "[South Bend, IN Population - Census 2020](https://www.census.gov/quickfacts/southbendcityindiana)\n",
+    "\n",
+    "## Landmark\n",
+    "![Studebaker National Museum](https://upload.wikimedia.org/wikipedia/commons/5/50/South-bend-studebaker-museum-new.jpg)\n",
+    "\n",
+    "South of the University of Notre Dame in downtown South Bend is the Studebaker National Museum. From the [museum's website](https://www.studebakermuseum.org/about/museum-history/), \"the Studebaker National Museum is devoted to sharing the story of the automotive and industrial history of South Bend and the greater region through the display and interpretation of Studebaker vehicles along with related industrial artifacts.\"\n",
+    "\n",
+    "The Studebaker company was an American wagon and automobile manufacturer founded in 1852. Studebaker was [one of the first companies to produce electric vehicles](https://en.wikipedia.org/wiki/History_of_the_electric_vehicle#Notable_production_vehicles) in 1902 but went out of business in 1967 after long term competition with Ford's Model T and later vehicles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a056e803-462a-4b9b-804e-b2a237fea31b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "EA-Course",
+   "language": "python",
+   "name": "earth-analytics-python"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}