In my previous articles on GDA2020 I have highlighted some of the considerations that organisations need to have when migrating to the new datum and reasons why Australia is deploying a new datum. These I hope have at least prepared you for what’s about to come.
In March Geoscience Australia released an interim paper
regarding the definition of GDA2020 and its relationships to GDA94 and the International Terrestrial Reference Frame 2014 (ITRF2014) using similarity transformations. This provided the foundation for including the new datum into the Esri suite of products.
Shortly Geoscience Australia will release the full definitions for the GDA2020 datum and the NTv2.0 high resolution grid files for the accurate transformations from GDA94 to GDA2020. In preparation for this Esri Australia, Esri and Geoscience Australia have been working together to have the definitions and transformations available in the ArcGIS software suite. Esri is due to release an update for their ArcGIS 10.5.1 and ArcGIS Pro 2.0 suite of products. We anticipate this to be available mid to late June. These will be the first Esri products to include the GDA2020 definitions and transformations.
The R-ArcGIS Bridge is a little-known secret to improving your methods of geostatistical analysis. By integrating ArcGIS and R you can have the best of both geospatial and statistical platforms. With the R-ArcGIS Bridge you and I can now perform and visualise comprehensive statistical analysis directly in ArcGIS Desktop.
Why would you use R?
R is a powerful platform for solving big data science problems. R is both an open source language and programming environment, widely used for statistical analysis. R offers an online repository with 6,400 statistical problem-solving packages.
The R-ArcGIS Bridge is a way to load your spatial data into R, or, create custom Geoprocessing Tools in ArcGIS that leverage the capabilities of R. The Bridge can be directly connected to either ArcGIS Pro (version 1.1+) or ArcMap (10.3.1+), and R (3.1+) or RStudio. The R-ArcGIS Bridge can then be used with pre-existing tools written in R, without the need to learn any code!
There are several uses of R-ArcGIS Bridge:
Use R functions to read and write spatial data
Convert between data types
Solve complex geostatistical problems
Write, configure, and modify an R script to be executed from a Geoprocessing tool
In previous blogs, I have spoken about how imagery can be utilised within the ArcGIS Platform and how it can be analysed. Through all this it has been about imagery can be viewed downstream. What about the prepossessing or specialised analysis not through web services? Well this is where ArcGIS Pro comes in.
In 2017 Esri has stated that their goal is for ArcGIS Pro to be functionally equivalent or better than the current toolsets in ArcMap. To this end in ArcGIS Pro 1.4 Esri have included a new core tab, Imagery. Core tabs are always on and accessible unlike layer specific tabs which only appear when an entry is selected in the Table of Contents.
A quick way to automate making multiple maps covering a large area is through Data Driven Pages. Whether you are trying to follow a road, or if you want to grid an area and show sections on individual maps, there are ways to automate this in ArcGIS so that you have a consistent maps.
There are multiple ways to use Data Driven pages for automated map production.
I have outlined 3 different scenarios where you may find it easier to create maps using data driven pages than individually
Following a Line Feature
1. Search for the ‘Strip Map Index Feature’ Tool in the Search Window
2. Set tool parameters
Layer = Line you would like to follow
Length = the page dimensions you would like to be displayed
Everything happens at a place and occurs at some point in time. Space time analysis seeks to understand when and where (and sometimes why) things occur. With the evolution of ArcGIS Pro we now have the opportunity to not only successfully analyse patterns of time and space, but also immerse in a deep 3D visual experience.
ArcGIS allows you to exploit the space and time aspects of your data, allowing you to answer questions like:
Is there an emerging hot spot?
Are there any anomalies?
Where your decisions or resource allocations effective?
Harris Geospatial has released their newest version of ENVI 5.4 and IDL 8.6. With every release Harris Geospatial is improving their platforms to ensure that ENVI and IDL remain at the forefront imagery Analysis. Here is an over view of all the NEW changes to the Harris Geospatial product suite.This post will provide an overview of the following; Licensing changes, new ENVI functionality and new IDL functionality. Continue reading →
In my role at Esri Australia resolving Enterprise and Developer support issues, there’s rarely a day that goes by where it’s not immensely useful to investigate communication between the different parts of a system. When a component of a GIS is not behaving as expected, forming a complete picture of the behaviour across the system is often instrumental in understanding the underlying cause. This article will focus on the special case of intercepting HTTP requests generated by applications running on top of Microsoft IIS, such as ArcGIS Web Adaptor and the Esri Resource Proxy.