Chapter 8. Analyzing Data In Cartographica

8.1. Introduction to Cartographica Analysis
8.2. Making a Kernel Density Map (Raster)
8.3. Making a Convex Hull
Creating a convex hull
8.4. Creating Buffers around Map Features (Vector)
Create Buffers
8.5. Counting Points in Polygons
Count points in polygons
8.6. Adding Data Columns
Adding Coordinates Columns for Points to the layer
Adding an Area Column to the layer
Adding a Length Column to the Layer
Adding a Midpoint Coordinates Column to the Layer
Adding a Centroid Coordinates Column to the layer
Adding a Column showing the Distance to Nearest Feature
8.7. Geocoding Addresses
8.7.1. MapBox Geocoding
Configuring the MapBox Geocoder
8.7.2. Bing Geocoding
Configuring Bing Geocoder
8.7.3. Internal Geocoding
Preparing to geocode with TIGER data
Configuring Internal Geocoding
8.7.4. Geocoding vCards
Geocoding your address book
8.8. Geocoding Photos
8.8.1. Importing encoded photos
Importing photos coded with geospatial data
8.8.2. Timecoding Photos
Importing photos by matching photo times and GPS tracks
8.9. Cluster Analysis
Performing a Cluster Analysis
8.10. Spatial Join
Using Spatial Join
8.11. Overlay Operations Tool
Performing Overlay Operations
8.12. Raster Interpolation
Interpolating Point Data

8.1. Introduction to Cartographica Analysis

Cartographica's second calling, behind importing and displaying data, is analysis of that data. There are many options in the Tools menu for performing analysis and we will be adding more as time goes on.

There are two basic kinds of analysis functions, grouped by the type of resulting data. Analyses that result in a raster layer provide smooth visual outputs and selectable color maps, etc. Analyses that result in either new vector layers or modifications to existing vector layers provide high levels of scalability and are often more useful for further analysis. Some functions may be able to output either vector or raster data.