Latest Contributions by IanMurray

I don't know enough about ArcObjects to help you with that, perhaps Xander Bakker‌ might know of some add-ons or tools that can help you out for a dynamic way to create new data frames as an inset map. If they were planning on manually creating the area of interest boxes in the map, I would suggest making some map templates, saved mxds that have multiple dataframes already built with the layers already loaded(they could be placed in the map template folder so they are an option when ArcMap opens).  You could keep the extra dataframes out of the layout extent and they could bring them into the layout as needed,  then they would just need to zoom in to the area they need in the inset map, then create the extent rectangles.  Not quite as easy as their old draw the area of interest and click where you want the inset, but certainly better than starting from scratch each time. ... View more

Are you sure you are using Project (Data Management) not Project(Coverage)?  Project (Data Management) is in the Data Management > Projections and Transformations Toolset and should be available for basic licenses.  ... View more

You should be able to use either and get the same results, point density can only use point data, and can search by a circle(radius), torus, rectangle or wedge, whereas kernal density can take point or polyline inputs and can only search by radius for density.  In your case since you are using points and only need to search by a radius either one will work. What Dan was trying to explain is that the output of this tool gives its output in units per area unit, so in your case voters per whatever are unit you selected on the tool.  So if you used square map units as your area unit scale factor and your map unit is decimal degree, then it calculates the density of voters per square decimal degree( or a 1 degree latitude by 1 degree longitude square box.)  So even though you only have 1000 voters, if your area is significantly smaller than 1 degree squared(approximately 4761 square miles), then your density per degree squared is much larger, since it scales it up for the larger area. Example: If you have one person per square foot(1ft by 1ft), then if you scale that to people per square miles, it would be 5280x5280 people per square mile(5280ft by 5280ft).  It doesn't care how many people are in your input, just the people per area unit you selected when you ran the tool. Check your dataframe to see what your data frame unit is in(You can see it on the bottom right hand corner of your map).  If it is in decimal degree, try re-running the tool after you change the are unit scale factor of your tool to a more useful unit, or change the projection of your data frame to one that uses feet, yards, or miles as a map unit if you want people per square mile, or to one that uses meters or kilometers for people per square kilometer. If you are still having trouble, post up your data and maybe someone can help you out. Also, Dan posted up the tool help, it should be able to help you figure out how to use it properly. Regards ... View more