The aim of this blog is to share with you a somewhat hidden workflow that easily allows any ArcGIS for Desktop user to convert MapInfo file formats. The MapInfo Interchange Formats in question here are (i) the .MIF file, which contains the graphics or actual points that represent the objects, and (ii) the .MID file, which contains any corresponding textual information about the objects.
For anyone that has needed to convert MapInfo file formats into Esri’s shape file format, for use in the multitude of ArcGIS workflows; then you would know this process may have involved any of the following:
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 →
One of the most time consuming processes of map making is deciding how to communicate the intended message of your map and make it look good at the same time. Join us for a session on map making tips and tricks across three ArcGIS applications as we show you how to declutter and represent your intended information using a series of built-in automated tools and effects. Continue reading →
Learning how to complete your ArcGIS Geoprocessing steps using Python will allow you to reduce the time spent on complex and/or repetitive tasks and will enable your staff to learn a more productive and dynamic pathway to return results.
So the question is; which course is for you?
The Introduction to Geoprocessing Scripts Using Python (10.2)course will teach you how to create Python scripts to automate tasks related to data management, feature editing, geoprocessing and analysis, and map production using ArcGIS. You will also learn how to share your Python scripts so your key GIS workflows are accessible to others. This course is designed for GIS analysts, specialists, data processors, and others who want to automate ArcGIS tasks and workflows.
Esri Inc. has recently announced the release of the ArcGIS Pro, the latest addition to the ArcGIS for Desktop product family.
ArcGIS Pro raises desktop GIS to a new level by providing the GIS professional with both the essential and the advanced tools to create, manage and analyse geospatial data in 2d and 3D.
At this stage, the new ArcGIS Pro application is available to all ArcGIS for Desktop users. Once downloaded users can test the beta version of the application and contribute to the official Beta program.
ArcGIS Pro represents a seamless environment for data management, editing and analysis. Users can organise their work into projects and use the geospatial data which is stored locally or access the contents shared via ArcGIS Online or Portal for ArcGIS.
ArcGIS Pro comes as a full 64-bit application, which supports multi-threading and has a convenient user interface, which provides users with an instant access to the tools, database connections and allows to quickly switch from a 2D map to a 3-dimensional GIS scene.
Don’t worry if you already have ArcGIS for Desktop installed on your computer; ArcGIS Pro is not intended to replace ArcGIS for Desktop. That’s just another powerful tool that Esri provide you with to get the maximum from your GIS data. You can install ArcGIS Pro Beta on the same machine as ArcGIS for Desktop 10.2.x and run these two software packages in parallel.
Imagery and remote sensing has always been one of my areas of interest in GIS. As a support analyst at Esri Australia I get a large number of imagery-related questions and I often help clients learn how to process their geospatial imagery and LiDAR data in ArcGIS.
Lidar (or Light Detection and Ranging) technology has become very popular and accessible in recent years. Because it provides high resolution elevation data, it’s now extensively used in the GIS world for mapping, spatial analysis and 3D visualization.
Although Lidar data can be used in many of the ArcGIS Desktop software, it turns out that many users are not aware of some basic workflows that can be utilized to extract raster Digital Elevation Models from their LAS point clouds in ArcGIS.
The question “how do I create a DEM from my Lidar data” is one of the most frequently asked questions when it comes to imagery related queries or support incidents. So I decided to prepare a quick overview of tools and methods that you can use to extract raster surfaces from your Lidar (*.las) files.
Below, I will outline the methods to extract the DEMs (Digital Elevation Model, also referred to as bare earth) and DSMs (Digital Surface Model, which is the first return surface which contains buildings, tree canopy etc.). Let’s get into it!!
Modelbuilder is often an afterthought to most GIS analysts, however, it can be a powerful tool when it comes to building and replicating complex workflows, as well as automating those boring, tedious tasks.
Iterators are unique to models, and allow you to loop through a process on unique values, tables, layers in your map document, or even workspaces.
Let’s have a look at iterators, and how you can use them.
As map makers we use maps as a medium to convey and inform information to our readers, a pivotal part of our workflow is labeling our maps to help us.
By looking at the map below, I think we could use some better labeling and positioning make locating features easier. The labels for a few of the cities such as Darwin and Birdum are difficult to read as the boundary of Australia is overlapping and in the west Fremantle and Perth seem to be one city. Additionally we can see that there are two rivers but they are not labelled. It is also probably a good idea to label Australia.
Let’s get down to business and begin to clean up our map so our readers are able to better identify and locate features using different labeling tools. Continue reading →
Although I can’t call myself a Python expert, from time to time I come across some interesting workflows worth sharing through this blog. This short story will be my first post on using Python to solve some non-standard tasks in ArcGIS for Desktop 10.2.1
This blog was actually created from a support incident where one of my clients asked me how to export the raster datasets that are stored within a file geodatabase, and referenced in a “Raster” attribute field, into a set of external files stored in one of the common files “. TIF” or “.JPEG.”
Ok, so here are a few pointers:
1. Imagine that we have a geodatabase with a point feature class and it contains two important attribute fields [image] and [name] (raster and text field types accordingly).
The year 2014 has started with some seriously interesting news from Esri Inc. , and of special interest to ArcGIS Desktop users who use Lidar data in their day-to-day work.
On January 7, Esri released the new version of ArcGIS for Desktop – 10.2.1- and introduced a new image format call zLAS, which will be used to compress and optimize large collections of Lidar datasets, and which will be supported as a “direct-read” format in the new version of the software.
ArcGIS for Desktop v.10.2.1 is now available for the general public and you can login to the Customer Care Portal to download it. For those of you using ArcGIS 10.1 and 10.2 there is no need to uninstall your ArcGIS Desktop as v10.2.1 will be installed on top of your existing version.
LAS Optimizer allows you to compress your LIDAR data (*.LAS), producing a set of *.zLAS files – an optimized version of the input Lidar datasets, which can be used for sharing, publishing and archiving. Continue reading →