dataset revisions

.Rhistory

@@ -0,0 +1,8 @@
+install.packages("usethis")
+usethis::create_github_token()
+install.packages("gitcreds")
+gitcreds_set()
+library(gitcreds)
+gitcreds_set()
+gitcreds_get()
+gitcreds_set()

.gitignore

@@ -2,3 +2,4 @@
 
 .ipynb_checkpoints
 */outdata
+.Rproj.user

03_CRS_Map_Projections.ipynb

@@ -21,15 +21,16 @@
     "\n",
     "<br>\n",
     "<font color='grey'>\n",
-    "    <b>Instructor Notes</b>\n",
+    "\n",
+    "**Instructor Notes**\n",
     "\n",
     "- Datasets used\n",
-    "    - ‘notebook_data/california_counties/CaliforniaCounties.shp’\n",
-    "    - ‘notebook_data/us_states/us_states.shp’\n",
-    "    - ‘notebook_data/census/Places/cb_2018_06_place_500k.zip’\n",
+    "    - California counties shapefile (‘notebook_data/california_counties/CaliforniaCounties.shp’)\n",
+    "    - United States states shapefile (‘notebook_data/us_states/us_states.shp’)\n",
+    "    - California places cartographic [boundaries](https://www2.census.gov/geo/tiger/GENZ2019/shp/cb_2019_06_place_500k.zip)  for 2019 from the United States Census Bureau ('notebook_data/census/Places/cb_2019_06_place_500k.zip')\n",
     "\n",
     "- Expected time to complete\n",
-    "    - Lecture + Questions: 45 minutes\n",
+    "    - Lecture and questions: 45 minutes\n",
     "    - Exercises: 10 minutes\n",
     "</font>"
    ]
@@ -766,7 +767,7 @@
     "\n",
     "Now it's time to take a crack and managing the CRS of a new dataset. In the code cell below, write code to:\n",
     "\n",
-    "1. Bring in the CA places data (`notebook_data/census/Places/cb_2018_06_place_500k.zip`)\n",
+    "1. Bring in the CA places data (`notebook_data/census/Places/cb_2019_06_place_500k.zip`)\n",
     "2. Check if the CRS is EPSG code 26910. If not, transform the CRS\n",
     "3. Plot the California counties and places together.\n",
     "\n",
@@ -845,7 +846,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,

04_More_Data_More_Maps.ipynb

@@ -19,16 +19,17 @@
     "\n",
     "<br>\n",
     "<font color='grey'>\n",
-    "    <b>Instructor Notes</b>\n",
+    "\n",
+    "**Instructor Notes**\n",
     "\n",
     "- Datasets used\n",
-    "    - 'notebook_data/transportation/BerkeleyBikeBlvds.geojson'\n",
-    "    - 'notebook_data/alco_schools.csv'\n",
-    "    - 'notebook_data/parcels/parcel_pts_rand30pct.geojson'\n",
-    "    - ‘notebook_data/berkeley/BerkeleyCityLimits.shp’\n",
+    "    - Berkeley bike boulevards ('notebook_data/transportation/BerkeleyBikeBlvds.geojson')\n",
+    "    - Alameda County schools ('notebook_data/alco_schools.csv')\n",
+    "    - Housing parcels ('notebook_data/parcels/parcel_pts_rand30pct.geojson')\n",
+    "    - Berkeley city limits ('notebook_data/berkeley/BerkeleyCityLimits.shp')\n",
     "\n",
     "- Expected time to complete\n",
-    "    - Lecture + Questions: 30 minutes\n",
+    "    - Lecture and questions: 30 minutes\n",
     "    - Exercises: 20 minutes\n",
     "</font>"
    ]
@@ -642,7 +643,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,

05_Data-Driven_Mapping.ipynb

@@ -20,14 +20,15 @@
     "\n",
     "<br>\n",
     "<font color='grey'>\n",
-    "    <b>Instructor Notes</b>\n",
+    "\n",
+    "**Instructor Notes**\n",
     "\n",
     "- Datasets used\n",
-    "    - 'notebook_data/california_counties/CaliforniaCounties.shp'\n",
-    "    - 'notebook_data/alco_schools.csv'\n",
-    "    - 'notebook_data/transportation/BerkeleyBikeBlvds.geojson'\n",
+    "    - California counties shapefile ('notebook_data/california_counties/CaliforniaCounties.shp')\n",
+    "    - Alameda County schools ('notebook_data/alco_schools.csv')\n",
+    "    - Berkeley bike boulevards ('notebook_data/transportation/BerkeleyBikeBlvds.geojson')\n",
     "- Expected time to complete\n",
-    "    - Lecture + Questions: 30 minutes\n",
+    "    - Lecture and questions: 30 minutes\n",
     "    - Exercises: 15 minutes\n",
     "</font>\n",
     "\n",
@@ -134,8 +135,7 @@
    "metadata": {},
    "source": [
     "That's really the heart of it. To set the color of the features based on the values in a column, set the `column` argument to the column name in the gdf.\n",
-    "> **Protip:** \n",
-    "- You can quickly right-click on the plot and save to a file or open in a new browser window."
+    "> **Protip:** You can quickly right-click on the plot and save to a file or open in a new browser window."
    ]
   },
   {
@@ -152,7 +152,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can also add a legend, and even tweak its display."
+    "We can also add a legend and even tweak its display."
    ]
   },
   {
@@ -879,7 +879,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,

06_Spatial_Queries.ipynb

@@ -19,29 +19,27 @@
     "- 6.0 Load and prep some data\n",
     "- 6.1 Measurement Queries\n",
     "- 6.2 Relationship Queries\n",
-    "- **Exercise**: Spatial Relationship Query\n",
+    "- **Exercise:** Spatial Relationship Query\n",
     "- 6.3 Proximity Analysis\n",
-    "- **Exercise**: Proximity Analysis\n",
+    "- **Exercise:** Proximity Analysis\n",
     "- 6.4 Recap\n",
     "\n",
     "\n",
-    "\n",
-    "\n",
-    "\n",
     "<br>\n",
     "<font color='grey'>\n",
-    "    <b>Instructor Notes</b>\n",
+    "\n",
+    "**Instructor Notes**\n",
     "\n",
     "- Datasets used\n",
-    "    - 'notebook_data/census/Tracts/cb_2013_06_tract_500k.zip'\n",
-    "    - 'notebook_data/protected_areas/CPAD_2020a_Units.shp'\n",
-    "    - 'notebook_data/berkeley/BerkeleyCityLimits.shp'\n",
-    "    - 'notebook_data/alco_schools.csv'\n",
-    "    - 'notebook_data/transportation/BerkeleyBikeBlvds.geojson'\n",
-    "    - 'notebook_data/transportation/bart.csv'\n",
+    "    - California census tract cartographic [boundaries](https://www2.census.gov/geo/tiger/GENZ2019/shp/cb_2019_06_tract_500k.zip) for 2019 from the United States Census Bureau ('notebook_data/census/Tracts/cb_2019_06_tract_500k.zip')\n",
+    "    - California protected areas ('notebook_data/protected_areas/CPAD_2020a_Units.shp')\n",
+    "    - Berkeley city limits ('notebook_data/berkeley/BerkeleyCityLimits.shp')\n",
+    "    - Alameda County schools ('notebook_data/alco_schools.csv')\n",
+    "    - Berkeley bike boulevards ('notebook_data/transportation/BerkeleyBikeBlvds.geojson')\n",
+    "    - Bay Area Rapid Transit (BART) stations ('notebook_data/transportation/bart.csv')\n",
     "\n",
     "- Expected time to complete\n",
-    "    - Lecture + Questions: 45 minutes\n",
+    "    - Lecture and questions: 45 minutes\n",
     "    - Exercises: 20 minutes\n",
     "</font>"
    ]
@@ -110,7 +108,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "census_tracts = gpd.read_file(\"zip://notebook_data/census/Tracts/cb_2013_06_tract_500k.zip\")\n",
+    "census_tracts = gpd.read_file(\"zip://notebook_data/census/Tracts/cb_2019_06_tract_500k.zip\")\n",
     "census_tracts.plot()"
    ]
   },
@@ -1006,7 +1004,7 @@
     "- Measuring area and length\n",
     "\t- `.area`, \n",
     "\t- `.length`\n",
-    "- Relationship Queries\n",
+    "- Relationship queries\n",
     "\t- `.intersects()`\n",
     "\t- `.within()`\n",
     "- Buffer analysis\n",
@@ -1036,9 +1034,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "geo_env2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "geo_env2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1050,7 +1048,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.9.5"
   }
  },
  "nbformat": 4,