Heinz Computing provides access to ArcGIS Online and many other tools within the ArcGIS ecosystem to CMU affiliates.
ArcGIS Online is a web mapping platform that runs in a browser. You do not need to install any software to use it, just go to the link below and sign in using your andrew credentials.
Note: CMU's Enterprise Space Information System team has their own ArcGIS Enterprise account so if you are working with that team, you may need to contact them for access to their instance of ArcGIS Online.
Convert Feature to Raster Converts point, line, or polygon features to a raster.
Convert Raster to Feature Converts a raster to point, line, or polygon features.
Dissolve Boundaries Finds polygons that overlap or share a common boundary and merges them to form a single polygon.
Extract Data Packages feature layers and tables into datasets that can be used in ArcGIS Pro, Microsoft Excel, and other products. The Extract Data tool creates an item in your content containing the data from the layers. You can then download the data from the item.
Generate Tessellations Creates a grid of cells with an area and shape that cover a specified extent.
Merge Layers Copies features from two layers of the same feature type (point, line, or area) into a new layer.
Nibble Replaces cells of a raster corresponding to a mask with the value of the nearest neighbor.
Overlay Layers Combines two layers into a single layer using one of three methods: Intersect, Union, or Erase.
Sample Extracts cell values from all of the input rasters at each input feature location.
Enrich Layer Supplements point, line, and polygon features with demographic and landscape data from the ArcGIS GeoEnrichment Service.
Derive Continuous Flow Generates a raster of accumulated flow into each cell from an input surface raster with no prior sink or depression filling required.
Derive Stream as Line Generates stream line features from an input surface raster with no prior sink or depression filling required.
Derive Stream as Raster Generates a stream raster from an input surface raster with no prior sink or depression filling required.
Fill Fills sinks and peaks in a surface raster to remove small imperfections in the data.
Flow Accumulation Generates a raster of accumulated flow into each cell from a flow direction raster.
Flow Direction Creates a raster of flow direction from each cell to its downslope neighbor, or neighbors, using the D8, Multiple Flow Direction (MFD), or D-Infinity (DINF) method.
Flow Distance Calculates the horizontal or vertical downslope distance from each cell to the stream into which they flow.
Geodesic Viewshed Identifies the locations on a raster surface that are visible to the input observer locations.
Stream Link Assigns unique values to sections of a raster linear network between intersections.
Surface Parameters Calculates parameters of a raster surface—such as aspect, slope, and curvature—using geodesic methods.
Watershed Determines the contributing area above a set of cells in a raster.
Classify Objects Runs a deep learning model on an imagery layer to produce a feature layer or table in which each input object is classified.
Classify Pixels Uses a deep learning model to classify the pixels in an imagery layer according to a defined list of labels indicating different classes.
Detect Change Uses a trained deep learning model to detect change between two raster layers.
Detect Objects Uses a deep learning model to identify and locate objects in an imagery layer.
ArcGIS Online is a tool for visualizing, manipulating, and analyzing spatial data. There are many ways to add data to your map.
You can search for data in ArcGIS online in several locations
Most data used for spatial projects are downloaded from repositories or other websites. Popular data types for spatial data for
Choose Best Facilities Finds the set of facilities that will best serve demand from surrounding areas.
Create Viewshed Identifies areas that are visible from specified observer points.
Create Watershed Uses a hosted digital elevation model (DEM) to create water catchment areas. For analysis purposes, hydrologic information has been precomputed by Esri using standard hydrologic models.
Find by Attributes and Location Creates a layer of the features or parts of features that meet specified spatial or attribute criteria.
Find Centroids Creates point features that represent the geometric center (centroid) of multipoint, line, and polygon features.
Find Similar Locations Evaluates the similarity between candidate locations and a reference location based on a set of criteria and ranks the candidate locations from most to least similar.
Locate Regions Identifies the best regions in the input raster that meet specified size requirements and spatial constraints.
Trace Downstream Uses a hosted digital elevation model (DEM) to trace downstream flow paths. For analysis purposes, hydrologic information has been precomputed by Esri using standard hydrologic models.
Calculate Composite Index Combines multiple numeric variables to create a single index.
Calculate Density (Vector or Raster) Creates a density map (polygon) from point or line features by spreading known quantities of a phenomenon (represented as attributes of the points or lines) across the map or scene.
Find Hot Spots Identifies statistically significant spatial clustering of high values (hot spots) and low values (cold spots) or data counts using the Getis-Ord Gi* statistic.
Find Outliers Identifies statistically significant hot spots, cold spots, and spatial outliers using the Anselin Local Moran's I statistic.
Find Point Clusters Identifies clusters of point features from surrounding noise based on their spatial distribution.
Interpolate Points (Vector) Predicts values at new locations based on values measured at a set of point locations.
Interpolate Points (Raster) Takes point data with values at each point and uses an interpolation method, that accounts for the error in estimating the underlying semivariogram through repeated simulations, to produce rasters of predicted and prediction error values.
Aggregate Multidimensional Raster Generates a multidimensional imagery layer by combining existing multidimensional variables along a dimension.
Find Argument Statistics Extracts the dimension value or band index at which a given statistic is attained for each pixel in a multidimensional or multiband imagery layer.
Generate Multidimensional Anomaly Computes the anomaly for each slice in an existing multidimensional raster to generate a new multidimensional imagery layer.
Generate Trend Raster Estimates the trend for each pixel along a dimension for one or more variables in a multidimensional imagery layer.
Multidimensional Principle Components Transforms the multidimensional imagery layers into a reduced number of components that account for the variance of the data, so that spatial and temporal patterns can be readily identified.
Predict Using Trend Raster Computes a forecasted multidimensional imagery layer using the output trend imagery layer created by the Generate Trend Raster tool.
Joining tabular data is a very common data processing step in GIS projects.
We often find data of interest in a data table. Sometimes the tabular data includes latitude longitude pairs, or street addresses that can be added more directly to the map. Other times, a column in the table has administrative boundaries like country, city, counties or other names and codes. These names and codes can be used to join tabular data to spatial outlines as long as each dataset has a key column in common (e.g., Geoid, FIPS number).
Aggregate Points Summarizes point features within designated areas. The tool calculates the total number of points within each bounding area, as well as any specified statistics for the points within the bounding areas.
Join Features Adds attributes from one layer or table to another based on specified spatial and attribute relationships. Optionally, statistics can be calculated for the joined features.
Summarize Center and Dispersion Finds the central feature, central tendency, and standard deviational ellipse of a set of features.
Summarize Nearby Finds features that are within a specified distance of features in the input layer using a line distance or travel mode. Statistics are then calculated for the nearby features.
Summarize Within Calculates statistics in areas where an input layer overlaps a boundary layer.
Tabulate Area Calculates the cross-tabulated areas between two datasets and reports the results as a table.
Zonal Geometry as a Table Calculates geometry measures for each zone in a dataset and reports the results as a table.
Zonal Statistics Summarizes the values of a raster within the zones of another dataset.
Zonal Statistics as a Table Summarizes the values of a raster within the zones of another dataset and reports the results as a table.
Calculate Travel Costs Measures the travel time or distance between pairs of points using either straight lines or network-based travel modes.
Create Buffers Creates an area that extends a specified distance around each input point, line, or polygon feature.
Distance Accumulation Calculates accumulated distance from each cell to input sources, allowing for straight-line distance, cost distance, and true surface distance, as well as vertical and horizontal cost factors.
Distance Allocation Calculates allocation for each cell to input sources based on straight-line distance, cost distance, and true surface distance, as well as vertical and horizontal cost factors.
Find Closest Uses either a line distance or a travel mode to measure between input features and near features. For each input feature, the specified number of near features is ranked by distance from the input feature.
Generate Travel Areas Calculates the area that can be reached within a specified travel time or travel distance along a street network.
Optimal Path as Line Calculates the path from destinations to the optimal source as a line.
Optimal Path as Raster Determines the optimal raster path from destinations to sources.
Optimal Region Connections Calculates the optimal connectivity network between two or more input regions.
Plan Routes Determines how a fleet of vehicles can visit a set of stops in the least amount of time.
