In the coming weeks, Esri will release the exciting new ArcGIS Image Analyst, an extension for ArcGIS Pro 2.1! We’ve built the Image Analyst extension to serve the operational needs of image analysts, scientists and photogrammetrists engaged in: Image interpretation, … 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
Here’s a pretty cool workflow for classifying video collected from a plane or UAV. What follows is a quick and dirty approach that is designed to give you a first look at what’s on the ground. Step 1 – Capture … Continue reading
ArcGIS has improved its suite of classification tools including advanced algorithms and the ability to segment an image. Segmentation looks at neighboring pixels and groups them together if they share the same spectral characteristics and it can also understand the … Continue reading
Word is getting out about the power and accuracy of Esri’s U.S. Tapestry Segmentation Data. In the last few weeks, Tapestry and our ZIP Lookup app have been showcased in articles in Time, Wall Street Journal, Esquire, and others, and … Continue reading
Coupled with the recent release of our 2014 U.S. Updated Demographic data, Esri is proud to launch the next generation of Tapestry Segmentation in the U.S. Why was Tapestry Segmentation updated? The U.S. Census is collected and released every 10 … Continue reading
The 2009 update to Address Coder, Esri’s stand-alone geocoding and data appending software, started shipping this week. The update includes Tele Atlas geocoding reference data (based on February 2009 data) and Esri’s 2009 demographic and Tapestry data.
We made some minor changes to the user interface to improve the setup of geocoding/data appending jobs.
In addition, we added a new feature ‘Append Closest to Site’. It allows users to determine, from a list of stores for example, which store is closest to an address record. When using this feature, the output file includes a field called CLOSEST_ID that indicates the closest store’s ID. This feature can be used by retailers for determining which customers are in a store’s trade area; or for determining the right merchandise mix for a store. It can even help sales managers determine sales territories.
by Jim Herries
Joseph Kerski, ESRI Education Manager, posted a nice blog titled “What Is My Neighborhood Really Like?” last week about ESRI’s free ZIP Lookup Tool. Thanks, Joseph, for the plug! It’s one of my favorite free things that ESRI does, and I’m not just saying that because our team is going to update that tool soon.
Based on our statistics, it’s also a favorite of many people who know ESRI but don’t know we have data like this; and of people who know data like this but don’t know about ESRI. Why the popularity?
When I want a sure-fire way to warm up a room of people to what I do, what ESRI does, what demographic data really is, I start with the Free ZIP Lookup tool. Usually I go for that person in the audience who’s giving you that face that says “look, I’m here but I’m on the fence about this topic.” So I pretend I’m a Radio Shack employee again (from 1988, $3.35 an hour plus commission pushing everything from diodes to 286 computers) and I ask them for their home ZIP Code.
I type in the ZIP Code — it is the perfect demo because you only have to type five numbers, press enter, and a page full of data pops up. Try it yourself — what I enjoy is the interaction with the crowd, as we read through the names of the top segments in the ZIP Code, e.g.
Second in wealth to Top Rung but first for conspicuous consumption, Connoisseurs residents are well educated and somewhat older, with a median age of 47.3 years. Although residents appear closer to retirement than child rearing age, many of these married couples have children who still live at home. Their neighborhoods tend to be older bastions of affluence where the median home value is $706,720. Growth in these neighborhoods is slow. Residents spend money for nice homes, cars, clothes, and vacations. Exercise is a priority; they work out weekly at a club or other facility, ski, play golf, snorkel, play tennis, practice yoga, and jog. Active in the community, they work for political candidates or parties, write or visit elected officials, and participate in local civic issues.
Why does this break the ice? Everyone in the room looks at the person you called on for the ZIP Code to validate whether he or she is a “Connoisseur” as described, or someone quite different. Suddenly, demographic data is not a dry recitation of facts and figures, it becomes a conversation…I’ve had people shout out “do my ZIP Code next.”
Try it out, and post your favorite “ZIP Lookup Tool” story here…
This weekend I picked up Bill Bishop’s book “The Big Sort: Why the Clustering of Like-Minded America Is Tearing Us Apart” (published in 2008). According to Bishop’s research, over the past 30 years we Americans have been gradually sorting ourselves into homogenous communities. Every year, between 4 and 5 percent of the population moves. And when they move, they make the subtle choice of choosing neighborhoods that they think fit them best, bearing out the notion that like attracts like. People are attracted to and feel comfortable among others with the same beliefs, ways of life, and political bent. It is the local political balkanization that is the “tearing us up” part of Bishop’s title.
Bishop contends that marketers were among some of the first to pick up on this trend. Indeed, marketers use what is known as segmentation data to be able to hone their messages down to neighborhood level. ESRI offers its own Tapestry Segmentation data that is included in ArcGIS Business Analyst Online.
Using the color-coded mapping in Business Analyst Online, I was able to determine that I live in one of the areas of Redlands, California dominated by Pleasant-Ville types of people, as seen here by the green highlighted areas.
ESRI’s Tapestry Segmentation handbook gave me a detailed description of “my people.” Much of it was spot on. I won’t spill the beans, but I do think my segment has superior qualities to the other 65 segments.
If you would like to know which types of people dominate your local area, check out ESRI’s ZIP Lookup Tool to get your own free report of top Tapestry segments in your ZIP Code.
See if you are indeed like your neighbors.