วีดีโอ

@@olsinho sounds like you’re interested in either a one to many/many to one join (pro.arcgis.com/en/pro-app/latest/help/data/relationships/data-relationship-options.htm) or even a relate (pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/add-relate.htm). Depends a lot on what you want the end functionality to be. Happy GISing!

@@elizabethbryce4283 absolutely. Exporting to a new file (you’d give it a new name and file path in this process) is a very good way to filter, sort, and clean data.

An important thing to clarify!

RGB raster data is often multiple bands of rasters displayed together. You would likely need to extract the individual bands from the Raster (see: pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/extract-bands-function.htm) and then reclassify the single band you're interested in reclassifying. Then you could use composite bands (see: pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/composite-bands.htm) to bring them back together! Be careful though - each of those RGB bands has a specific value as it was collected that way - you should have a good reason to change them!

Create Random Points needs a constraint! Without it, you will experience the issue you are having. In this video I talk about creating a constraint that is a feature class - another shapefile - the big square. So you could create a similar constraining layer. Or, you could try to use your raster as the constraining extent parameter, which you can learn more about in the tool description: pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/create-random-points.htm

As I mentioned in response to your previous comment, I’m not available for consulting in that manner. Please reach out over email for consulting/tutorial rates.

Unfortunately I'm not readily able to consult like that but feel free to reach out over email for general tutorial/consulting rates. For your issue, my instinct is that you have a file of the same name already (first error), and your settings have blocked over-writing data with the same name (the second error). See more: pro.arcgis.com/en/pro-app/latest/tool-reference/tool-errors-and-warnings/001001-010000/tool-errors-and-warnings-00601-00625-000601.htm

If you have multiple rows that share the same fips (or whichever identifier) - then you need a different kind of join! Namely, a many to one join which is a different process. See here for more on the particulars of that in Arc: pro.arcgis.com/en/pro-app/latest/tool-reference/big-data-analytics/join-features.htm Please note that the process is particular to the data and other methods might be better.

A helpful note! Thank you.

Thank you! The captions might be automated but they turned out pretty nice.

If you wanted to incorporate some kind of population weight with your NDBI, you could use a raster population dataset like the Gridded Population of the World: sedac.ciesin.columbia.edu/data/collection/gpw-v4. Using some kind of raster calculation, you could devise a way to add in population numbers with your NDBI calculation. Good luck!

Multidimensional rasters should work with Raster Clip the same as regular rasters! pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/clip.htm

Danial - great question, but complex. Zonal Statistics is probably still your tool, but you might need to change the definition of the 'zone' or 'zone field'. For example, if I wanted to know - for every different individual parcel here - the landcover area/type, I would change my 'zone field' to whichever field had an individual parcel number. Or, maybe even the object ID of the vector shapefile. You mention cells - If you have two different landcover rasters, you can use this tool too! Just make sure you clarify in your own mind which one is the 'zone' raster, and which is the 'value' raster before you run the tool.

@@FreelanceGeographer Thank you so much for your reply, Forrest. I ended up reclassifying the raster multiple times and running zonal statistics for each of them separately and then calculating the rest of it using Excel. Cheers, Danial,

There are few ways! From the help page: "To make a permanent join, either use the Join Field tool or use the joined layer as input to one of the following tools: Copy Features, Copy Rows, Export Features, or Export Table." See more: pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/add-join.htm

Depends a bit on what you mean. Say you have two landcover values (1 and 2): you could reclassify them together by using the tool to turn them both to 1, or 2, or to a new value (say 3). If you have a lot of values, (say 1, 2, 3, 4, 5) and are just trying to condense two while keeping the rest, you could just set all the values you don't want to change to be the same value, and condense the ones you want to be the same value. Reclassify can work by just turning values into the same value!

@@FreelanceGeographer thanks for that, I was trying that before and it kept getting the dreaded 9999 error but finally worked.

Save a copy, and start guessing! But key to remember - until you define the projection correctly, projecting the unknown raster will do you absolutely no good. You can't take unknown and turn it into known without... knowing first. It's a riddle, but with pixels. Conic helps: here's a list to start map-projections.net/projections-list.php. Happy hunting.

@@FreelanceGeographer I know that it is a Lambert Conformal Conic projection with 2 standard latitudes of 5N and 60N. Its a map that encompasses Europe, Asia and North Africa. However none of the arctoolbox options fit those standard parallels, so not sure where to go from there. Thanks again for the reply!

@@shocky2787 Fortunately, you can define your own projection: pro.arcgis.com/en/pro-app/latest/help/mapping/properties/define-a-new-coordinate-system.htm Unfortunately that's a lot harder!

@@FreelanceGeographer yes, but this is what I will need to do! Thank you so much!

Damilola, you're interested in a different file format if you have several variables all together. This is 'multidimensional' data, with the file type NetCDF. This allows for multiple dimensions (data types) within a coverage, and can include time dimensions as well. Climate data often works this way but it can apply in many data contexts and is always complex. There are conversion tools in ArcPro and elsewhere that can help you convert such data - see links below for some more details. Please note that these conversions are very specific to the data/work you're doing, and as such, you should be careful you're representing your data correctly upon converstion. pro.arcgis.com/en/pro-app/latest/help/data/multidimensional/what-is-netcdf-data.htm (more about NetCDF data) pro.arcgis.com/en/pro-app/latest/tool-reference/multidimension/an-overview-of-the-netcdf-toolset.htm (the NetCDF conversion tools in ArcPro) docs.safe.com/fme/html/FME_Desktop_Documentation/FME_ReadersWriters/netcdf/netcdf.htm (additional NetCDF information from the makers of FME)