Radian can read ESRI geodatabases

radianI just got the new build of Radian Studio, and now that it can directly read geodatabases, you can link directly to the geodatabase from inside of Radian and perform Radian spatial queries on it.  In this video, I’m linking directly to an ESRI geodatabase, creating a small map display of the data, performing a spatial clip of two vector layers, and returning the results.   In my previous video, I showed how Radian studio can read data directly from PostgreSQL, SQLite, and also easily exchange data between them.   This is just another example of how Radian can manage disparate GIS databases.


l hope you like the video, if so, consider learning more about Radian Studio in my online course here.

Radian Studio is here..


As many of you know, Manifold Software, Ltd. has just annradian_logoounced the release of Radian Studio.  To help people learn Radian, gisadvisor.com, LLC. has just released the video training course Radian Studio.

The more I’m using Radian Studio, the better I like it.  Have a look at the short video below to get a quick look at what Radian Studio can do, and decide if it is something you want to try out.


The course is over four hours of video instruction, which as you know from other gisadvisor.com videos, is probably close to a one or two day training program.  I wanted to get this training out quickly, so there will be more added to it as the days go on, and as Manifold Software, Ltd. adds more functionality.

As part of the introductory offer, the entire course is available for $30 if you purchase it using the coupon code here – that is an incredible deal to learn such a sophisticated piece of software.  And as always, any of the courses you sign up for are available forever, and you can view the courses on your desktop, tablet, and any smart device.

This is one of the best ways to learn the basics of Radian Studio, and it’s at a price that is very affordable to anyone.  Don’t forget, if you use Radian Studio, the Manifold forum is a great place to learn from others.

k-nearest neighbor with SQL in Radian Studio

I wanted to give you another look at some features that Radian Studio will offer. I’ve shown how we can use SQL to replicate the ARC/INFO NEAR function, and how to perform Nearest Neighbor Analysis. But, another useful took is the ability to identify k-nearest neighbors. That is, rather than just identifying the nearest neighbor, you might want to identify the two, three, or k nearest neighbors.

Radian will allow that functionality by using the COLLECT aggregate clause. The COLLECT aggregate collects values from a subgroup into a table, returning a table with one or more fields.

it is like a SELECT which runs on a group. COLLECT takes a table and returns a table without requiring us to write a FROM section as we would with a SELECT. This is stuff that the real grown up databases like Oracle use, and Manifold is going to give it to us as part of Radian Studio.

SELECT park_no1,
SPLIT(COLLECT park_no2, dist
SELECT a.name AS park_no1, b.name AS park_no2,
GeomDistance(a.[geom (i)], b.[geom (i)], 0) AS dist
FROM [parks Table] AS a , [parks Table] AS b
WHERE a.name <> b.name
GROUP BY park_no1

Continue reading

When More is Less…. lessons from processing large data files

My good friend Stuart Hamilton gave me a fun conundrum to try out. He has a file of province boundaries (400 areas) and lidar derived mangrove locations (37 million points – 2.2GB in size). He wants to find the number of mangroves that are contained in each area.  He also want to know which country a mangrove location is in.  An overview of the area is here:


but, as you zoom in, you can see that there are a tremendous number of points:


The problem

You would think that overlaying 37 million points with 400 polygons wouldn’t be too much trouble – but, it was.  Big time trouble.  In fact, after running for days in ArcGIS, Manifold GIS, PostGRES/PostGIS, and spatial Hadoop, it simply would not complete. Continue reading

Another Radian Test – Finding the distance between lines and areas

Following up on my previous post with ArcGIS and the Near Table, I created an SQL query in Manifold 8 to do both the near distances and group them by the number of points within specific distances (I grouped them every 50 km.).  The entire process took 47 seconds (or about 9 times faster than ArcGIS 10.1).

But, to keep things on the same playing field, I just computed the NEAR part of the query, and it ran in 40 seconds.  So, Manifold 8 was way faster than ArcGIS 10.1, but 3x slower than ArcGIS Pro.

I then wrote the following query in the Radian engine:

SELECT count(*) AS CNT, 
       first(floor(GeomDistance([L Table].[Geom (I)], 
       [P Table].[Geom (I)], 1)/50000)*50000+50000) AS DistZone, 
INTO bobo 
FROM [P Table] 
ON GeomWithin([L Table].[Geom (I)],[P Table].[Geom (I)], 500000,1) 

 this query took 30 seconds (or about 20% faster than Manifold 8).

 Once again, to level the playing field, I created a query to just run the NEAR aspect:

SELECT GeomDistance([L Table].[Geom (I)], [P Table].[Geom (I)], 1) AS DistZone, [UNIQUE_ID]
INTO bobo2
FROM [P Table]
GeomWithin([L Table].[Geom (I)],[P Table].[Geom (I)], 500000,1)

 this ran in 20 seconds.  In this case, ArcGIS Pro run slightly faster than Manifold 9 – but remember, I am still working with an alpha/beta release of Radian, and not all of the optimizations have been turned on. I can’t wait to see what the next beta will reveal.

Again, the simplicity of SQL in conjunction with the parallel nature of the Radian engine provides some very interesting opportunities for working with complex processes and large amounts of data.