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Tagged: real-timedynamic data

Thursday, March 18, 2010

If anyone can provide a perspective on the "consumerization" of satellite imaging and its impact on the profession of remote sensing science it’s Kass Green. Editor in Chief Joe Francica recently to sit down with this true remote sensing rock star in Scottsdale, Arizona and they discussed the impact of Google Earth on the remote sensing, privacy issues, and how change detection applications of remotely sensed data might well become just another feature provided by Google.

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by Joe Francica on 03/18 at 06:00 AM | Comments | Bookmark and Share

Tuesday, December 01, 2009

The PR is quite vague, but the basics seem to be:

The partnership program forms a mutually beneficial relationship in which waze and its users are provided with a base map for accelerating community growth, while the partner benefits include turning their map from a static and costly-to-update resource, into a real-time, navigable asset with significantly lower operational costs. Partners also expand their data set to include real-time traffic, community updates and reports.

The official announcement will be at the Navigation & Location USA event today and tomorrow.

Here’s a Q & A with answers from CEO Noam Bardin.

What type of partners is waze looking for? Those with data? Those with apps running on other datasets?

The partner program is aimed at data providers - primarily map providers. It is open to map providers of different levels (display, navigable, out-of-date, governmental) and, at its core, will take this data and return it updated and expanded.  Updated to navigable information, new segments, missing data (such as street names or missing streets) fixes to geometry etc and expanded to include real time traffic and community alerts.

Are there any monetary benefits for partners?

This partnerships is a partnership and not a data buy.  By sharing together data, the partner gets the benefit of crowdsourcing and the community gets the benefit of a more mature map.  Both parties can share in the revenue from selling the data, regardless of who sells it (the partner or Waze) so it is a win-win for both sides of the partnership. 

Are there restrictions on data use? What’s the license for partners using waze data?

This is confidential but beneficial to both parties.  Fundamentally - the program is geared towards licensed data providers.

Is there an API to use to access the waze data?

There are a variety of client and server side API’s being released to enable the data to be easily integrated into applications and web sites.

Will partners be providing data in raw form to waze? How will that work? What’s the time frame to add a new dataset from a local provider?

The data is provided in raw form and made available back in the same format or in processed format through API’s/

Is this part of the move to add OSM data to waze’s dataset? [Background: Di-Ann Eisnor, Waze’s community geographer, explained at the Location Intelligence Conference that the company was interested in using OSM data and was waiting for that project to have a license that would allow that.]

This is not OSM related as we are partnering with data providers who own there own data set and can license it accordingly for commercial use.  OSM data restricts from commercializing the data and so would not be part of the partner program.  We think what they are doing is great for the industry as a whole but for this specific program, it isn’t relevant.

by Adena Schutzberg on 12/01 at 10:22 AM | Comments | Bookmark and Share

Wednesday, November 25, 2009

Yesterday, I took a look at the Walmart maps being offered to shoppers for Black Friday by the Massachusetts store cited in our APB post today. Looking like every other Walmart floor plan that the retailer stamps into the landscape around the country, I got to thinking about how I’d want my "shopping map" to look like. If I were to be lured to the 4:00 a.m. low, low prices, obsequious to the will of the mega-retailers on that fateful day after Thanksgiving, this is how I would want to start my hunt for the ultimate door-busting bargains.

First, I’d want my car navigation system (let’s go with a Garmin…I’m partial to their PNDs) equipped with the locations of every retailer and their hours of operation on BF (yes, Black Friday).

Next, I’d map out the route to each store allowing just enough time to scarf-up the best sale items at each.

However, this is predicated by having a map of each floor plan for each retailer loaded onto my Blackberry (sorry, I’m a business guy…don’t do iPhone schtick). Perhaps we could get the good folks at uLocate to work on this for the Where application.

Next, the retailers would have to allow the floor plans to be tagged with the location of the best sale items. This might be similar to what the rather crude Walmart map provides, but please, we are a bit more sophisticated in our geospatial awareness these days, so let’s have better precision, right? I’m thinking that there should be some RFID device for each item and a shopping cart that synch’s via Bluetooth to my Blackberry to navigate around the store. Whenever the cart passes along the isle with the most sought-after gadgets, my Blackberry provides the alert and I’m directed appropriately.

Having snagged the item from the shelf, I’m then provided with a traffic map of the store floor, whisking my buggy to route around the bulging crowds to the nearest cash register with the fewest in line. This is micro-geography at its finest.

My items are scanned as I zoom past the counter, swipe my credit card, and I’m out the door…on to the next BF adventure.

I’m headed to the parking lot where I’m met with a swarm of hungry, sleep-deprived shoppers, goodness knows where I parked my car. But in the perfect geospatial world, I am directly by voice commands by my PND to the location of my space and my car is automatically unlocked as I approach with a cart-load of gifts, recognizing of course that my bio sensor-equipped vehicle knows my proximal location.

Safely inside, I rev the engine and I’m off to the next store, real-time traffic and weather guiding my every move. And because I’ve integrated my PND with geo-located Twitter feeds, I’m getting updates on new bargains in the vicinity. I’m re-routed as necessary…my Christmas shopping list consulted and advised.

In a perfect world…Have a great Thanksgiving.

by Joe Francica on 11/25 at 09:03 AM | Comments | Bookmark and Share

Tuesday, November 24, 2009

Last week Twitter released its geolocation API, an interface for developers to tack on, and gain access to the point locations from which tweets are sent, so long as users turn it “on.” What are the possibilities for a giant, near-real time set of 140 character comments from around the world? Our editors contemplate challenges, opportunities and possible uses.


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by Adena Schutzberg on 11/24 at 01:00 AM | Comments | Bookmark and Share

Tuesday, November 17, 2009

If anyone can make a map today, what is it that distinguishes the amateur from the professional when it comes to geospatial? Is it training? Perspective? Tools? Our editors weigh in.


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by Adena Schutzberg on 11/17 at 01:00 AM | Comments | Bookmark and Share

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