GIS News

Skip the line: restaurant wait times on Search and Maps

Nov 07 2017 [Archived Version] □ Published at Maps under tags  maps search

When it comes to a saucy bowl of pasta or a perfectly cooked steak, people are willing to wait in (long) lines for a taste of their favorite comfort foods. Rolling out soon, wait times on Google Search (and coming soon to Maps) shows you the estimated wait at your favorite restaurants. Now you can decide whether that cronut is really worth an hour wait or plan ahead to get your fix at a time when you can avoid a wait entirely.

WaitTimesGIF

To see wait times for nearly a million sit-down restaurants around the world that allow walk-ins, just search for the restaurant on Google, open the business listing, and scroll down to the Popular Times section. There you’ll see the estimated wait time at that very moment. And by tapping on any of the hour bars, you’ll see the estimated wait for that time period. You can even scroll left and right to see a summary of each day’s wait times below the hour bars–so you can plan ahead to beat the crowds.


Wait time estimates are based on anonymized historical data, similar to how we compute the previously launched Popular Times and Visit Duration features.


Getting hyper-local: Mapping street-level air quality across California

Nov 07 2017 [Archived Version] □ Published at Maps under tags  environment google earth maps

Most air pollution is measured at a city level, but air quality can change block by block, hour by hour and day to day. To better understand air quality on a more local level, webegan working with our partnerAclima — to map air pollution across California using Google Street View cars—equipped with air quality sensors.  Earlier this year, we shared the the first results of this effort with pollution levels throughout the city of Oakland.

We're just beginning to understand what's possible with this hyper-local information and today, we’re starting to share some of our findings for the three California regions we’ve mapped: the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to collect this data!) Scientists and air quality specialists can use this information to assist local organizations, governments, and regulators in identifying opportunities to achieve greater air quality improvements and solutions.

Over 195 nations will gather in Bonn for the COP23 UN Climate Climate Change conference this week. Rising to the climate challenge will involve a  mix of policy, technology and international cooperation and we believe that insights about air quality at the community level can help support both local and global action on climate. Below we’ve highlighted some of our findings for these regions with heat maps showing Nitrogen Dioxide (NO2) levels across three regions. The NO2 scale in the videos indicate pollution levels.  Blue indicating  NO2 levels are low —  Yellow indicating NO2 levels are high.

CA

Air quality measurements across California (Data USGS, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data CSUMB SFML, CA OPC, Landsat / Copernicus, Data MBARI)


Over a three month period, our Street View cars mapped air quality in different areas of Los Angeles, ranging from urban to residential, inland to the Pacific Ocean, and areas near major freeways, ports, or refineries. The measurements indicate that traffic-choked freeways, traffic on local streets, and weather patterns that blow pollution inland all influence the patterns of air pollution.

Air quality measurements in Los Angeles region (Landsat / Copernicus, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, IBCAO, Data LDEO-Columbia, NSF, Data USGS, Data CSUMB SFML, CA OPC)

Air quality measurements in Los Angeles region (Landsat / Copernicus, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, IBCAO, Data LDEO-Columbia, NSF, Data USGS, Data CSUMB SFML, CA OPC)

Compared to Los Angeles, the San Francisco Bay Area, which we mapped over the past two years, is a higher density city. A large percentage of air pollution emissions comes from vehicles like cars, trucks, and construction equipment, and industrial sources like refineries and power plants added to the mix. The measurements here indicate street-level pollution patterns are affected by these local and distributed sources.

Air quality measurements in the San Francisco Bay Area region (TerraMetrics, Data CSUMB SFML, CA OPC, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data MBARI, Landsat / Copernicus)

Air quality measurements in the San Francisco Bay Area region (TerraMetrics, Data CSUMB SFML, CA OPC, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data MBARI, Landsat / Copernicus)

While much of California’s Central Valley is rural with a lot of agriculture, it’s also home to cities, such as Fresno, Bakersfield, Stockton, and Modesto. Interstate 5 and Interstate 99 are two major traffic corridors that run through the region, connecting Northern and Southern California. Interstate and regional traffic, along with industry and agriculture, are sources of air pollution in the region. Weather conditions and topography can trap air pollution between the coast and the Sierra Nevada mountains resulting in a chronic ozone and particulate matter levels that exceed public health standards.

Air quality measurements in California’s Central Valley region (Landsat / Copernicus, Data MBARI, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data CSUMB SFML, CA OPC, Data USGS)

Air quality measurements in California’s Central Valley region (Landsat / Copernicus, Data MBARI, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data CSUMB SFML, CA OPC, Data USGS)

So far, we’ve measured over one billion air quality data points but this is just the beginning—and now air quality scientists can request access to the data. Air quality impacts our planet and our health—and we hope this information helps us build smarter more sustainable cities, reduce climate changing greenhouse gases and improve air quality for healthier living.

Tune in to Aclima’s blog for more data stories from our California driving campaign in the coming days and weeks.


Riegl USA Hosting Free Webinar

Nov 07 2017 [Archived Version] □ Published at In The Scan under tags  education sensors software technology the industry

RIEGL USA will be hosting a North American End of Year Promotional Webinar on Tuesday, November 14 at 2:00 PM EST. Please join RIEGL’s terrestrial expert, Shannon Trammell, for this special year end event! She will be discussing the following … Continue reading

The post Riegl USA Hosting Free Webinar appeared first on In The Scan.


Getting hyper-local: Mapping street-level air quality across California

Nov 07 2017 [Archived Version] □ Published at Maps under tags  maps

Most air pollution is measured at a city level, but air quality can change block by block, hour by hour and day to day. To better understand air quality on a more local level, we began working with our partner Aclima — to map air pollution across California using Google Street View cars—equipped with air quality sensors.  Earlier this year, we shared the the first results of this effort with pollution levels throughout the city of Oakland.

We're just beginning to understand what's possible with this hyperlocal information and today, we’re releasing data for three additional California regions, the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to collect this data!). Scientists and air quality specialists can use this information to assist local organizations, governments, and regulators in identifying opportunities to achieve greater air quality improvements and solutions.

Over 195 nations will gather in Bonn for the COP23 UN Climate Climate Change conference this week. Rising to the climate challenge will involve a  mix of policy, technology and international cooperation and we believe that insights about air quality at the community level can help support both local and global action on climate. Below we’ve highlighted some of our findings for these regions. Below we’ve highlighted some of our findings for these regions.

Over a three month period, our Street View cars mapped air quality in different areas of Los Angeles, ranging from urban to residential, inland to the Pacific Ocean, and areas near major freeways, ports, or refineries. The measurements indicate that traffic-choked freeways, traffic on local streets, and weather patterns that blow pollution inland all influence the patterns of air pollution.

Air quality measurements in Los Angeles region (Landsat / Copernicus, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, IBCAO, Data LDEO-Columbia, NSF, Data USGS, Data CSUMB SFML, CA OPC)

Air quality measurements in Los Angeles region (Landsat / Copernicus, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, IBCAO, Data LDEO-Columbia, NSF, Data USGS, Data CSUMB SFML, CA OPC)

Compared to Los Angeles, the San Francisco Bay Area, which we mapped over the past two years, is a higher density city. A large percentage of air pollution emissions comes from vehicles like cars, trucks, and construction equipment, and industrial sources like refineries and power plants added to the mix. The measurements here indicate street-level pollution patterns are affected by these local and distributed sources.

Air quality measurements in the San Francisco Bay Area region (TerraMetrics, Data CSUMB SFML, CA OPC, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data MBARI, Landsat / Copernicus)

Air quality measurements in the San Francisco Bay Area region (TerraMetrics, Data CSUMB SFML, CA OPC, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data MBARI, Landsat / Copernicus)

While much of California’s Central Valley is rural with a lot of agriculture, it’s also home to cities, such as Fresno, Bakersfield, Stockton, and Modesto. Interstate 5 and Interstate 99 are two major traffic corridors that run through the region, connecting Northern and Southern California. Interstate and regional traffic, along with industry and agriculture, are sources of air pollution in the region. Weather conditions and topography can trap air pollution between the coast and the Sierra Nevada mountains resulting in a chronic ozone and particulate matter levels that exceed public health standards.

Air quality measurements in California’s Central Valley region (Landsat / Copernicus, Data MBARI, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data CSUMB SFML, CA OPC, Data USGS)

Air quality measurements in California’s Central Valley region (Landsat / Copernicus, Data MBARI, Data SIO, NOAA, U.S. Navy, NGA, GEBCO, Data LDEO-Columbia, NSF, Data CSUMB SFML, CA OPC, Data USGS)

So far, we’ve measured over one billion air quality data points but this is just the beginning—and now air quality scientists can request access to the data. Air quality impacts our planet and our health—and we hope this information helps us build smarter more sustainable cities, reduce climate changing greenhouse gases and improve air quality for healthier living.

Tune in to Aclima’s blog for more data stories from our California driving campaign in the coming days and weeks.


The most comprehensive GIS database you will ever need – ADC WorldMap v7.4

Nov 07 2017 [Archived Version] □ Published at Geoawesomeness under tags  adc worldmap adci database gis

Finding the right GIS basemap for your geospatial analysis is always a challenge. Large data providers are expensive and often limit their service to API instead of actual ShapeFiles. On the other hand, there are local data providers and OpenStreetMap but preparing such datasets and verifying their consistency and topology takes a lot of time and resources. […]

The post The most comprehensive GIS database you will ever need – ADC WorldMap v7.4 appeared first on Geoawesomeness.


Levels of Driving Automation

Nov 06 2017 [Archived Version] □ Published at In The Scan under tags  uncategorized

Unlike many technical markets, such as the lidar and laser scanning  industry there is good news when it comes to a standard for describing levels of driving automation. The consumer markets have learned that developing and agreeing on standards, especially … Continue reading

The post Levels of Driving Automation appeared first on In The Scan.


Buckle up for Space Age 2.0: It’s a $3 trillion ride!

Nov 06 2017 [Archived Version] □ Published at Geoawesomeness under tags  geo news satellites space exploration

Until not too long ago, cash-rich government agencies had their monopoly on outer space exploration. But the last decade has seen the game change completely with plummeting launch costs and evolution of small and affordable satellites. Everybody, from billionaire entrepreneurs to college kids, is chasing their childhood dream of exploring space. Advances in computer vision […]

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GIS Cloud Solutions for Electric Utilities: Webinar Recording

Nov 06 2017 [Archived Version] □ Published at GIS Cloud under tags  blog webinar

Learn how to harness the power of real-time insight into your electricity network infrastructure, distribution lines, and daily maintenance and management.   On October 26th, we held a webinar on how to create a more efficient workflow, make better decisions, and save time and money using GIS Cloud solutions for electric utilities. To access the...


GIS Cloud Solutions for Electric Utilities: Webinar Recording

Nov 06 2017 [Archived Version] □ Published at GIS Cloud under tags  blog webinar

Learn how to harness the power of real-time insight into your electricity network infrastructure, distribution lines, and daily maintenance and management.   On October 26th, we held a webinar on how to create a more efficient workflow, make better decisions, and save time and money using GIS Cloud solutions for electric utilities. To access the...


Interactive Clusters with ArcGIS API for JavaScript

Nov 06 2017 [Archived Version] □ Published at odoenet under tags  arcgis clusters esri javascript

The latest release of ArcGIS Online has released support for clusters of Feature Services in your maps. Currently, this is only supported in 3.x, but 4.x support should be coming soon. You can read couple of blogs posts about it here and here. There are some samples in the API here. Clustering makes for some...

The post Interactive Clusters with ArcGIS API for JavaScript appeared first on odoenet.