The ArcGIS Living Atlas of the World has a new set of maps that make US Census data really shine (pun intended). Using the new Firefly Cartography style, these maps highlight distinct patterns about how the population and households are … Continue reading
You can now easily map 2010 Census demographic data from the Living Atlas of the World. These services can be used to create multi-geography demographic stories that help us understand the human population regionally, and locally. There are four services … Continue reading
Want to win your next election? In a new Learn ArcGIS lesson, you will learn how GIS could help you outmaneuver your rivals on the political battlefield.
In Map Voter Data to Plan Your Campaign, you will assume the role of a campaign manager researching voters for an upcoming election that includes southern Howard County in the U.S. state of Maryland. You will start the lesson by creating a map and geocoding a spreadsheet with the addresses of your potential voters. You will then download a layer of Tapestry Segmentation, developed by Esri as a way to classify American neighborhoods into 67 unique market segments based on a variety of demographic and socioeconomic characteristics. By researching Tapestry, you will learn more about the lifestyles and living standards of your voters as well as gain insight into their values and the issues they care about. Inferences could range from housing costs and college expenses to smartphone taxes and charity giving. Continue reading
2016 United States Demographic maps and services are now available on ArcGIS Online. Esri Demographic maps are featured in the Living Atlas of the World, the foremost collection of authoritative, ready-to-use global geographic information ever assembled. New Maps More than … Continue reading
We will show you how you can leverage you can download maps to your device, collect and update GIS features whilst disconnected and then synchronize changes back to the office when you are connected.
UPDATE: The seminar is now available for you to view on our website. Simply log in with your Esri Global username and password and view the seminar here.
With the newly elected 113th United States Congress starting its term, Esri is pleased to offer the new USA 113th Congressional Districts dataset and map service to all ArcGIS users.
We are pleased to announce that the new 2010 U.S. Census datasets with their new geometry and attributes are now available as layer packages on ArcGIS.com. Block Group, Tract, County, and State are all represented as polygons with over 40 attribute fields containing population totals by age and race, along with family and household information. Census Blocks are represented as points with total population and household information.
Average family size by Block Group
Visit the Esri Data & Maps United States Census page on the ArcGIS Content Resource Center for a list of all the census layers available for download on ArcGIS.com.
By Jim Herries, Cartographic Product Engineer
“I’m a VERY novice GISer. I work for a fire department. My Chief wants me to be able to add demographic layers to our district map, but when I look around, the maps are all “Google Earth” types or PDF files, which I can’t do anything with. Where and how do I get demographic data I can add to my map as a layer?”
Creating locators with ArcGIS 10 out of the box address locator styles requires the specific address attributes in one feature class. As the TIGER 2010 dataset consists of multiple feature classes and tables, creating locators with ArcGIS 10 out of the box locator styles requires the tables to be joined properly in advance and are exported to one feature class.
Alternatively, a custom locator style, TIGER – Edges-Dual Ranges, allows you to create locators with the feature classes/tables from the TIGER 2010 data without preprocessing the tables. The locator style requires the following feature classes and tables in the TIGER 2010 dataset:
You can download the locator style and sample data/tool from the Geocoding resource center:
Due to multiple table joins and selection queries, creating a locator using this locator style may take some time especially if the feature classes contain many features. Preprocessing the tables and exporting the address attributes to one feature class is an option as creating locators with one feature class using the out of the box locator style is generally faster.