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I appreciate being able to write to an ESRI File GeoDatabase. It would be even better if in the process of writing to an ESRI File GeoDatabase I could identify fields to index and have them indexed when writing to the File GeoDatabse. Currently I have to add the index in ArcGIS after the fact. Writing to an ESRI File GeoDatabase currently adds a spatial index automatically, but I'm talking about an attribute index here.
Tableau v2018.3 introduced multiple table extracts. These are particularly useful for fact table to fact table joins and fact table to entitlement table joins for row-level security where the number of rows created by the join and/or size of join results would be prohibitively large. Also they are useful for fact table to spatial joins where we might have multiple spatial objects (for example custom province/district/health facility catchment) for each row of fact table data.
So in Alteryx I'd like to be able to specify 2+ tables & their join keys and then write out a .hyper multiple tables extract.
Alteryx started as a geospatial application. The "y" and "x" in Alteryx stand for the geospatial origin of the application. So why doesn't every tool in the Spatial Category have a One Tool Example? As of version 2019.2.7, there is only one One Tool Example in the Spatial Category. It is for the Distance Tool.
Please make One Tool Examples for every Spatial tool. Thank you.
I think Alteryx uses the Tableau SDK to create tableau data extracts, TDE's. Since Tableau 10.3, there is functionality to connect to spatial files in Tableau (.shp). These shapefiles can be converted to an tableau data extract within Tableau. The tableau SDK has this functionality as well, but Alteryx does not support it yet. The suggestion is to add this functionality. See https://onlinehelp.tableau.com/current/api/sdk/en-us/SDK/tableau_sdk_samples.htm for the SDK link.
Spatial TDE's are way smaller (3gb .shp went to 140mb TDE) and way faster.
It would be really cool to have a workflow that you could configure to your server that we could schedule to pull down the new Cass updates and install them. Since they have to be reinstalled every two months, it would help to manage that.
I think that the data updates are set up with an FTP site, Cass could be done essentially the same way. Download it there and then use the command module to run the install? I may be over simplifying the process but it seems like this is something that Alteryx could tackle.
A lot of popular machine learning systems use a computer's GPU to speed up some of the math to a huge degree. The header on this article on Medium shows a 15x difference from a high-end CPU vs a high-end GPU. It could also create an improvement in the spatial tools. Perhaps Alteryx should add this functionality in order to speed up these tools, which I can imagine are currently some of the slowest.
Recently we had a situation where installing the data packages was expected to take over 20 hours! We do not have the ability to run a machine undisturbed for this length of time at the office, and VPN automatically times out after 12 hours. Okay, so these items are company-specific, but how nice would it be to be able to download/install the data in smaller portions so you don't have to worry about setting up shop for 8-10 hours?!
I was able to copy the DataInstall.ini and name only the portions of the data I wanted to install in each session. But then I had to separate the installs into different network folders otherwise you end up overwriting the DataInstall.exe file, which users need for each install in order to register from a network location (for each install).
Needless to say, it took SEVERAL weekends and quite a few mistakes before I was able to do it this way successfully!
Please vote for data installs in smaller portions!
We primarily work on tracking people through a store or any physical space and extract shopping trip information such as areas visited, dwell time, etc. This shopper track information consists of a series of X,Y coordinates which are also used to plot heat maps based on density of points in a given area.
I have been using a workaround due to the lack of cartesian coordinate support in spatial tools - involving converting cartesian values to Lat., Long. by dividing X,Y values by 10,000. This approach works fine for finding spatial matches between points and polygons. However, when using something like a heat map tool which requires Grid Size and Max Distance in Miles/Kilometers, since there is no support for smaller units of distance, you will not be able to generate a heatmap data file.
In addition to adding support for Cartesian coordinates, it would also be helpful to provide an option to load in a Floorplan/Image as Base Map when browsing Spatial tool results.
An ability to modify the angle of the grids created. Degree Angle input would be real simple to use and would allow for creating more appropriate grids without making really small grids and re-merging them for similar result. North South & East West grids are nice, however ability to change to NW by SE would be real nice.
Please add support to read and write spatial data from a SpatiaLite database. ESRI and QGIS have supported this format out of the box for quite a while. We have a mixed use environment Alteryx, ESRI, Mapinfo and QGIS and would like a common file based spatial format. You already support SQLite, its container, so expanding to the SpatialLite spec should be a no brainer.
There are times where I create several points in a row. I then have to either add a Select tool after each to rename, or remember which is which and rename in a Select Tool after all. It would make things more efficient if I could name the output field of the Create Points Tool directly in the tool configuration.
Alteryx's spatial tools are really powerful and offer a lot of value for analysis. However, when rendering a map for output, there is currently no way to place an image inside of a polygon. This feature would be very useful for customized layers on maps and other spatial-based processes.
My rough suggestion would be to scale a selected image to the size of the polygon's bounding rectangle, and then trim the edges of the image to fit inside the polygon itself.
I recently had a project that involved clipping the spatial polygon from one record with the spatial polygon of a different dataset. Currently, the only way I know how to use Alteryx to do this is to use a Spatial Match tool to get both spatial objects in the same record line, which allows me to use the Spatial Process tool. In my case, I was trying to trim polygons to the US, so my second spatial object was a polygon for the entire US, which then got attached to every record of my data in order to do the Spatial Process.
My suggestion is simple, make the Spatial Process tool have an option that would allow for two Inputs. I bring my target data in on one stream, chose the process method I want, and use the second Input as my "clip" data. This would allow people to trip/clip their data without having to append the clip data to every single record in the target dataset.
Same concept applies for the Distance tool, currently have to have both spatial objects in one record. My suggestion is to allow the Distance tool to also allow two inputs, I understand there is the Find Nearest tool and that as two inputs, but I'm not always just wanting the nearest, or to have a cutoff distance. Sometimes, I just want to know the distance in my target data to the location in my secondary file, for every record..
Hi , Currently we have 3 methods to calculate distance. K-means, K-median and Neural gas. Can we also include DBSCAN (Density based spatial clustering) as one of the method. I can colloborate with product owners of alteryx to make this happen. Please let me know.