As with any task carried out in the ArcGIS software suite, data is the foundation. The old saying of “Garbage in Garbage out” still applies. Data, whether it is in a text format or geographic (shapefile or File Geodatabase Feature class) will impact on the behaviour, use and display of data in ArcGIS.
I do have one proviso in this situation and that is that I’ve given up on perfection. Deviation from the real world is expected. Distortions from the coordinate system chosen, method of capture and scale are some of the sources of error in geographic data. What is important is what error is acceptable for the task you are carrying out.
In response to the growing demand in providing education and training to interested users around Esri’s cutting edge 3D software tool CityEngine, Esri Australia’s training team has recently developed a new training course- CityEngine 2014.
This training course has been designed to provide students who are about to begin constructing realistic models of 3D cities with some foundational knowledge of how CityEngine works, and how to use it to create models, import GIS data and publish their results on ArcGIS Online.
The CityEngine 2014 training course will also be of interest to those who are already CityEngine users, and have made their first steps in navigating this advanced 3D modelling software, guided by Esri Inc’s tutorials and exercises.
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.
So by now you would have heard that Collector for ArcGIS (Android & iOS) has the ability to work offline in a semi connected mode. The means that not only can you take your feature service data offline for field inspection but also you can cache the Esri Basemaps. This provides terrific access to your data within a basemap spatial context.
But what happens if you have your own cached basemaps that you want to use. Well there are two way you can achieve this. Continue reading →