Tag Archives: ArcGIS Desktop

Heard of Conda? Wondering how it relates to using Python in ArcGIS Pro (version 1.3)?

apro1-3After installing ArcGIS Pro 1.3, you may notice a few changes. The scope of this blog will detail Conda – what it is? why this change occurred? and how conda has affected the usage of ArcGIS Desktop functionality when used by ArcGIS Pro? – specifically as at version 1.3 (and later releases).

For those reading, I am assuming your understanding of python is that when used in both ArcGIS 10.x and ArcGIS Pro, this is the primary language to automate, configure and consume your GIS ecosystem. One of the cornerstones within each ecosystem is knowing Continue reading

Australia is on the move GDA2020

Recently in the Australian media there has been a lot of commentary around the impending update to Australia’s primary datum. From GDA94 to GDA2020. It has even made the British media http://www.bbc.com/news/technology-36912700.

At Esri Australia this has prompted a lot of questions from clients in regards to the support of the new datum GDA2020 in ArcGIS. Will ArcGIS support GDA2020 and when will ArcGIS support GDA2020?

Before we start to answer these questions I think it is important we understand exactly what the new datum is and why Geoscience Australia is moving towards a new datum.

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Image Tips in ArcMap

So you’ve loaded your image into ArcMap and the image displays incorrect colour or there is no data values around the outside of the image that is masking crucial features in your map. How can you quick rectify these annoyances? Well this is where the Image Analysis  window comes in handy.

Introduced in ArcMap 10.1 the  Image Analysis Window is accessed from the Display menu in ArcMap . The Image Analysis window supports the analysis and exploitation of image and raster data in ArcMap, with a collection of commonly used display capabilities, processes, and measurement tools. Essentially all your image needs in one place.

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2016: The Year of the Parcel Fabric

One of the many new additions to ArcMap 10 was the introduction of Parcel Editor. Some of you may remember this as a replacement for the Survey Analyst Cadastral Editor product. With this new addition the cadastral fabric dataset was replaced with the new parcel fabric. At the time many just looked at this with a passing interest, especially those with cadastral systems already in place.

So why should 2016 be the year of the Parcel Fabric for you? Here are my top three reasons why it should be. Continue reading

Landscape

Mapping Mars with ArcGIS Pro

I only discovered relatively recently that the Desktop suite is not limited to mapping Earth. Hidden amongst the thousands of coordinate systems available, you can find those for mapping planets within the Solar System.

Just for kicks, I downloaded all the geological data from Mars to have a look in ArcGIS Pro and see how it would fare in the hybrid 2D/3D interface.

You can try this out for yourselves by downloading the data from the USGS here. The datasets are conveniently provided in a file geodatabase and the layers come with some standard symbology in MXDs, so it’s an easy feat to import into ArcGIS Pro.

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Ever wondered what layers reside in all my MXD’s? Is there a way to summarize each layers’ properties?

Here’s one way forward utilizing ArcGIS for Desktop and Python….

Working at Esri Australia in the Support and Training realm, we listen to numerous client’s requests, concerns and workflow issues. To keep abreast of how our technology is heading, one source I frequent is Continue reading

Spatial Join’s hidden trick or how to transfer attribute values in a One to Many relationship

From time to time, even the experienced GIS users (my 17 years in GIS allow me to call myself one) come across hidden tools and workflows that have existed in ArcGIS for Desktop for ages, but have never been used.

Recently, a couple of my clients asked me how to solve the following problem. Imagine you had a polygon feature class representing cadastral boundaries (i.e. properties) and another one representing zones (i.e. zoning). One property can fall within several adjacent zoning polygons, which effectively defines the cardinality (or the type of the relationships between features in both datasets) as One to Many (Properties to Zones).

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