Analysis

GeoPlanner provides spatial analysis tools on its Explore segment. You can use these tools to answer questions and assess suitability and vulnerability. Spatial analysis tools help you perform the following operations:

• Summarize data—Calculate total counts, lengths, areas, and basic descriptive statistics of features and their attributes within areas or near other features.
• Find locations—Find features that pass any number of criteria that you specify. They are typically used for site selection, where the objective is to find places that satisfy multiple criteria.
• Data enrichment—Explore the character of areas. Detailed demographic data and statistics are returned for your chosen areas. Comparative information can also be reported for expanded areas such as counties and states.
• Analyze patterns—Identify, quantify, and visualize spatial patterns in your data by identifying areas of statistically significant clusters.
• Analyze proximity—Answer one of the most common questions posed in spatial analysis: What is near what?

Analysis tools create layers to help you visualize how an area functions. You can use these layers with the Classify tool to create a new layer item that you can use in dashboard charts.

Analysis tools

Tool	Description
Aggregate Points	The Aggregate Points tool works with a layer of point features and a layer of polygon features. It first figures out which points fall in each area. After determining this point-in-area spatial relationship, statistics about all points in the area are calculated and assigned to the area. The most basic statistic is the count of the number of points in the area, but you can get other statistics as well. For example, suppose you have point features of coffee shop locations and area features of counties, and you want to summarize coffee sales by county. Assuming the coffee shops have a TOTAL_SALES attribute, you can get the sum of all sales in each county, or the minimum or maximum sales in each county, or the standard deviation of all sales in each county.
Calculate Density	The Calculate Density tool creates a density map from point or line features by spreading known quantities of some phenomenon (represented as attributes of the points or lines) across the map. The result is a layer of areas classified from least dense to most dense; see the following examples: Calculating densities of hospitals in a county. The result layer will show areas with high and low accessibility to hospitals, and you can use this information to decide where new hospitals should be built. Identifying areas that are at high risk of forest fires based on historical locations of forest fires. Locating communities that are far from major highways to plan where new roads should be constructed.
Convert Raster to Feature	The Convert Raster to Feature tool converts a raster to a feature dataset as points, lines, or polygons. The input raster can have any cell size, and for integer rasters that have additional attributes in the associated table, you can specify which attribute field from the raster will become an attribute in the output feature class. Note: Floating-point rasters, as opposed to integer rasters, can only be converted to point features. The following are examples of what this tool can be used for: Creating polygon features from a land-use classification raster. Converting streams identified in a Digital Elevation Model (DEM) to line features. Converting a DEM to point features that can be used in a nonraster-based workflow. Note: This tool require a valid license for ArcGIS Image Server.
Create Buffers	A buffer is an polygon that covers a given distance from a point, line, or area feature. Buffers are typically used to create areas that you can further analyze using a tool such as Overlay Layers. For example, if the question is what buildings are within one mile of the school, you can find the answer by creating a one-mile buffer around the school and overlaying the buffer with the layer containing building footprints. The end result is a layer of those buildings within one mile of the school.
Create Travel-Time Areas	The Create Travel-Time Areas tool creates polygons of areas that can be reached in a specified drive, walk, or trucking time or distance. It can measure outward from one or up to 1,000 points along roads to create travel-time layers that can help you answer questions such as the following: Where can I go from here within a 30-minute drive? Where can I go from here within a 30-minute drive at 5:30 p.m. during rush hour? What areas of town can the fire department reach within five minutes? How would fire-response coverage improve by building a new fire station here? What market areas does my business cover? You may be able to answer your questions solely through visualizing the output areas. Alternatively, you can perform further spatial analysis using the output areas. For instance, running the Aggregate Points tool using drive-time areas with demographic data can help determine which potential store location would likely provide the best customer base for your type of business.
Derive New Locations	The Derive New Locations tool derives new features in your study area based on a series of criteria you specify. You create these criteria using attribute queries (for example, parcels that are vacant) and spatial queries (for example, parcels that are inside flood zones).
Dissolve Boundaries	Areas that overlap or share a common boundary are merged together to form a single area by the Dissolve Boundaries tool. You can control which boundaries are merged by specifying a field. For example, if you have a layer of counties, and each county has a State_Name attribute, you can dissolve boundaries using the State_Name attribute. Adjacent counties are merged together if they have the same value for State_Name. The end result is a layer of state boundaries.
Enrich Layer	The Enrich Layer tool adds details to your point or area data by getting facts about the people, places, and businesses that surround your data locations. This tool allows you to answer new questions about locations that you cannot answer with maps alone, for example, What kind of people live here? What do people like to do in this area? What are their habits and lifestyles? What kind of businesses are there in this area? The result is a new layer containing all demographic and geographic information from given data collections. This new information is added as fields in the table.
Export Spatial Data	With the Export Spatial Data tool, you can choose and download data for a specified area of interest. Layers that you select are added to a .zip file or layer package.
Find Existing Locations	The Find Existing Locations tool selects existing features in your study area that meet a series of criteria you specify. You can base these criteria on attribute queries (for example, parcels that are vacant) and spatial queries (for example, parcels within one mile of a river).
Find Hot Spots	The Find Hot Spots tool determines if there is any statistically significant clustering in the spatial pattern of your data. The results from this tool can help you answer the following kinds of questions: Are your points (crime incidents, trees, traffic accidents) really clustered? How can you be sure? Have you truly discovered a statistically significant hot spot (for spending, infant mortality, consistently high test scores) or would your map tell a different story if you changed the way it was symbolized?
Find Nearest	The Find Nearest tool finds the nearest features and, optionally, reports and ranks the distance to these features. To find what's nearby, the tool can measure straight-line distance or use a selected travel mode. There are options to limit the number of nearest features to find or the search range in which to find them. The results from this tool can help you answer the following kinds of questions: What is the nearest park from here? Which hospital can be reached in the shortest drive time? How long would the trip take on a Tuesday at 5:30 p.m. during rush hour? What are the road distances between these major cities? Which of these patients reside within two miles of these chemical plants? The Find Nearest tool returns a layer containing the nearest features and, optionally, a line layer that links the start locations to their nearest locations. The optional line layer contains information about the start and nearest locations and the distances between them.
Find Similar Locations	Based on criteria you specify, the Find Similar Locations tool measures the similarity of locations in your input search layer to one or more reference locations.
Interpolate Points	The Interpolate Points tool allows you to predict values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns areas classified by predicted values. This tool could be used in the following examples: An air quality management district has sensors that measure pollution levels. You can use Interpolate Points to predict pollution levels at locations that don't have sensors, such as schools, hospitals, or other locations with at-risk populations. You can predict heavy metal concentrations in crops based on samples taken from individual plants. You can predict soil nutrient levels (nitrogen, phosphorus, potassium, and so on) and other indicators (such as electrical conductivity) to study their relationships to crop yield and prescribe precise amounts of fertilizer for each location in the field. Meteorological applications include prediction of temperatures, rainfall, and associated variables (such as acid rain).
Merge Layers	The Merge Layers tool copies features from two layers into a new layer. The layers to be merged must contain the same feature types (points, lines, or polygons). You can control how the fields from the input layers are joined and copied; see the following examples: You have three layers for England, Wales, and Scotland, and you want a single layer of Great Britain. You have 12 layers and each contains parcel information for contiguous townships. You want to join them together into a single layer, keeping only the fields that have the same name and type on the 12 input layers.
Overlay Layers	The Overlay Layers tool combines two or more layers into a single layer. You can think of overlay as peering through a stack of maps and creating a single map containing all the information found in the stack. Overlay is much more than a merging of line work; all the attributes of the features taking part in the overlay are carried through to the final product. Overlay is used to answer one of the most basic questions of geography: What is on top of what? This tool can be used to answer questions such as the following: What parcels are within the 100-year flood plain? What roads are within what counties? What land use is on top of what soil type? What wells are within abandoned military bases?
Plan Routes	The Plan Routes tool determines how to efficiently divide tasks among a mobile workforce. You provide the tool with a set of stops and the number of vehicles available to visit the stops. The tool assigns the stops to vehicles and returns routes showing how each vehicle can reach its assigned stops in the least amount of time. With Plan Routes, mobile workforces reach more job sites in less time, which increases productivity and improves customer service. This tool can be used for mobile workers who do the following: Inspect homes, restaurants, or construction sites Provide repair, installation, or technical services Deliver items and small packages Make sales calls Transport people from their homes to an event The output from Plan Routes includes a layer of stops coded by the routes to which they are assigned, a layer of routes showing the shortest paths to visit assigned stops, and, depending on whether any stops could not be reached, a layer of unassigned stops.
Summarize Nearby	The Summarize Nearby tool finds features within a specified distance of features in the analysis layer. You can measure distance as a straight-line distance or using a selected travel mode. Statistics are then calculated for the nearby features. For example, this tool could be used to: Calculate the total population within five minutes of driving time of a proposed new store location. Calculate the number of freeway access ramps within a one-mile driving distance of a proposed new store location to use as a measure of store accessibility.
Summarize Within	The Summarize Within tool finds features (and portions of features) within the boundaries of areas in the analysis layer. For example, this tool could be used to do the following: Given a layer of watershed boundaries and a layer of land-use boundaries by land-use type, calculate total acreage of land-use type for each watershed. Given a layer of parcels in a county and a layer of city boundaries, summarize the average value of vacant parcels within each city boundary.
Zonal Statistics	The Zonal Statistics tool calculates data from raster layers or the output of a Weighted Raster Overlay (WRO) model and outputs a new data layer combined with information from an input feature layer. For example, this tool could be used to do the following: Given a defined area of land use, calculate the average elevation from a Digital Elevation Model (DEM). Given a defined area of land use, determine its suitability for a wind farm installation. This tool combines functionality with Zonal Statistics as Table and Join Features. Note: This tool require a valid license for ArcGIS Image Server.

Execute an analysis tool

You can run any of the analysis tools listed above on a feature layer in your GeoPlanner project. The following steps demonstrate how to run the Create Travel-Time Areas analysis tool to generate walk times from a point feature layer.

1. On the app toolbar, click Explore and click Analysis.
2. From the Analysis drop-down menu, click Use Proximity and choose Create Travel-Time Areas.
3. Click the drop-down arrow beneath Select Feature Layer and choose a point feature layer.
4. In the Measure section, click the drop-down arrow and choose Walking Time.
5. In the text box beneath Walking Time, type 5 10 15 20.

   This instructs the tool to generate walking times for 5, 10, 15, and 20 minutes from each point in the map.

6. In the Areas from different points section, click Dissolve.
7. Set Result Layer Name to Walk times 5 10 15 20 Minutes.
8. Click Run Analysis. If you closed the Contents pane, click Contents on the app toolbar to display it.

   A small animation begins at the top of the Contents pane in the Jobs tab. This indicates that a job, or in this case, the Create Walk Times process, is running.

Job status

As a spatial analysis tool runs, the process status is logged to the Jobs tab in the Contents pane. Process status can be Submitted, Running, Processing, Completed, or Failed, and each has an associated label displayed on the Jobs tab.

If you close the browser before a job is complete, you can later use the Add Data tool to search and add the result to your project map if the job successfully completed.