suggested edits done
"### Get the unemployment rate data matching the violent crime trends layer\n"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The space-time pattern mining tools are not currently available in ArcGIS API for Python which are required to create crime trend map. Although we can create the crime trend map using <a href='http://desktop.arcgis.com/en/analytics/case-studies/broken-bottles-2-arcmap-workflow.htm#ESRI_STEPS_4EF9CB8AB43145B99E9E343CB9C10917'>ArcMap</a> or using <a href='http://desktop.arcgis.com/en/analytics/case-studies/broken-bottles-3-pro-workflow.htm#ESRI_STEPS_5B9E855169CA4B818AF51D0FF69CE66A'>ArcGIS Pro </a>. \n",
+ "For our analysis we will use the layer already published in ArcGIS Online. To access the layer, search for **ViolentCrimeTrend** in ArcGIS Online. We can search the GIS for feature layer collections by specifying the item type as 'Feature Layer Collection' or 'Feature Layer'."
+ ]
+ },
{
"cell_type": "code",
"execution_count": 37,
"cell_type": "markdown",
"metadata": {},
"source": [
- "In this sample study, we added public high schools to the areas of existing summer jobs program. We will recommend that several schools be included in an expanded summer jobs program. This could prove to be an effective solution to reduce incidences of violent crime in the city.\n",
- "\n"
+ "In this study, we performed hotspot analysis on violent crimes layer and liquor vendors layer. We enriched the crime hotspots layer with poverty indicators and produced a poverty hotspot layer. When all 3 layers were overlaid, we found no spatial correlation. In the next step, we enriched the crime layer with unemployment information and produced an unemployment hotspot layer. However, this layer was spatially correlated with the crimes layer when overlaid. As a solution, we used find_existing_locations tools to identify high schools within 0.25 miles of places with high crime and high unemployment as candidates for summer programs as an abatement measure.\n"
]
},
{
