Tag Archives: location analytics
By Frits van der Schaaf – Head of Business Development, Automotive
The National Safety Council estimated that in 2015, approximately 38,300 people were killed on U.S. roads and 4.4 million sustained injuries. These tragic statistics are compelling car makers to add connectivity to their safety designs. Their cars will connect to an ecosystem of cloud-based networks that share information to make drivers more aware of their environment and avoid accidents.
Equipped with sensors that create a 360 degree awareness field, a connected vehicle gathers road hazard data. A geographic information system (GIS) processes the real-time data and transforms it into useful information. Using live weather data and historical incident data, for instance, GIS can predict the risk of an accident occurring on a specific section of road when it is raining or when fog will make the road hard to see.
GIS will also play an important role in vehicle and infrastructure sensor systems that share real-time data with each other. While drivers are traveling down the road, their vehicles are “talking” with various roadside structures. A geofence around a school and elderly housing can alert a car’s system to tell the driver to slow down inside the zone. Car sensors detect treacherous potholes and report the locations to other drivers and the city. Roadside sensor systems can capture real-time data about highway traffic conditions in the lane ahead and automatically relay it to the car’s dashboard to forewarn the driver.
Jim Young, Esri Head of Business Development will be the guest at the Geoawesomness GeoChat on December 1, 2016. Young leads business development activities for Esri in Portland, Oregon and works closely with tech companies and developers to explore the use of location-aware application program interfaces (API) and spatial analytics. He analyzes data from phones, cameras, vehicles, and beacons to find patterns. Young seeks to apply spatial analysis along with computer vision to help retailers, advertisers, and tech companies gain market advantage.
Geoawesomeness is a blog about geospatial technology and all the exciting things surrounding it. With a team of people passionate about GIS from all around the world, Geoawesomeness aims to be not only the best geo-news platform, but also to provide constructive commentary about everything happening in the geo-industry.
GeoChat is a kind of town hall Q&A session hosted by Geoawesomeness, with guests representing the most cutting edge geo companies today.
Last week Esri attended #LATechSummit. The summit brings together over 900 LA technology companies, investors, incubators and startups. Los Angeles is the third-largest technology startup ecosystem in the US and is home to “Silicon Beach” on the west side of … Continue reading
Dilapidated and vacant buildings in a city are a blight that not only distresses the urban landscape but causes health problems, decreases property values, and attracts criminal elements. Before managing urban blight, cities need to know where it is. Understanding a problem is half way to solving it. New Orleans is asking its community to participate in an urban blight data collection process by simply using an app that shows building photos and asks a few survey questions about the condition of the property.
New Orleans is using the app to collect data about the status of the city’s 150,000 properties. To get started, staff drove every street of the city capturing photos of each building with two consumer grade cameras with wide angle lenses, which they bought from the local tech store. They also had an integrated GPS that tagged the location to each photo taken. They then uploaded the pictures to a data layer and joined them to corresponding parcel location data.
The city did not have the resources to actually complete the survey for these properties, so it asked Esri to build a crowd sourcing solution. Esri created the Photo Survey app, which any local government can use to publish street-level photo collections. Now citizens can become involved in the community project by accessing the app, answering the questions, and clicking send to add the information to the Photo Survey data layer on the server.
In just one month people had joined in the project and completed 16,000 surveys. The simple 10 second survey is easy. Answer these six questions: 1) Is there a structure on the property? 2) Is the lot overgrown? 3) Is there apparent damage to the siding or walls? 4) is there apparent damage to the windows or doors? 5) Is there damage to the roof? 6) What’s the foundation type?
In the US, drug overdose is the leading cause of accidental death, with opioid addiction driving the epidemic. Opioids include both legal drugs, used for pain relief, and illegal drugs like heroin. These drugs are highly addictive, and anyone from any walk of life can become dependent on them. In 2014, more than 29,000 opioid related deaths occurred in the US.
Turning big data into knowledge is all about relevance and context
Big data may be all the rage these days, but it isn’t exactly new. In fact, Esri has been dealing with big data since the inception of digital mapping more than three decades ago. When every contour, stream, street, rail line, park, building, or shoreline for the entire world is stored in an intelligent database, data doesn’t get much bigger than that.
Data as Big, Beautiful, and Living as the Earth
Back in 1992, Esri embarked on an ambitious campaign to create the very first seamless digital map and database of the whole world. This project—aptly named the Digital Chart of the World—converted paper maps of political boundaries, transportation lines, utilities, cultural landmarks, and more into a digital map product that could be viewed for the first time as something other than a pretty picture. In a world where CDs were still considered new and expensive storage media, and hard drives came in hundreds of megabytes, the 1.7 gigabyte database was not only huge, but it also challenged many computer specification and storage architectures. Continue reading
Location analytics gives global manufacturers new visibility into each stop on the way to the shopper
When pork was found in Ikea’s moose lasagna in Europe, as you can imagine, this had significant ramifications with both the Jewish and Islamic communities.
Cadbury suffered a major brand debacle because swine DNA was found in candy bars for sale in Malaysia—a predominantly Muslim nation.
What if we could see every touch point and monitor all the processes that are necessary at this vast global scale to get that chicken nugget safely from a meat packing plant to your toddler’s table? Continue reading
Location analytics helps retailers breathe new life into old strategies.
Online shopping is well understood. We don’t only know how many people visit an online retail site. We also know that changing the size of a picture by a few pixels will generate more sales. We can even see if online shopping carts have been abandoned, what items people have viewed, and how long visitors have stayed on a page to calculate their interest in buying a product.
But when it comes to knowing how many people shop at a physical store, traditionally we scratch our heads. We’ve been trying to figure out those details for more than a hundred years. And don’t get me started on “dark shoppers”—customers that visit a store but don’t purchase. Unlike online shoppers, “dark shoppers” don’t leave an activity trail. There’s been a lot of talk about how in-store beacons will change this, but the jury’s out on how shoppers will respond. Continue reading
Business data is growing at such a rate that many organizations can become overwhelmed by the big data problem. A recent McKinsey, IDC, and Department of Labor Statistics analysis [PDF] of data in business found that financial/securities organizations have 3.8 petabytes per firm—that’s more than 400 million gigabytes, or about 12.5 million iPads, per company! Banking comes in a distant second with 1.9 PB. This puts big data found in financial services companies into perspective since this is even greater than most communications and media companies’ average of 1.8 PB. Continue reading
The importance of knowing your neighbor
Dorothy, this isn’t Kansas anymore. It could be Anytown, USA. On my last trip to Kansas, it wasn’t the wheat fields or flatness that amazed me but the repetitive retail landscape. It seemed that every town was a clone of the one I had just left—the same restaurant chains, grocers, drugstores, and general merchants. Was it an unholy alliance? Had real estate developers, government, and retailers reached perfect agreement on what every town needed and limited the choice to a small menu of options? However, the more I looked, the more I found exceptions. The harder I tried to quantify the way towns were similar to each other, the more I noticed the differences and came away knowing that local flavors dominate. Continue reading