Interesting tid bits with MLS data

Average MLS Sale Price Percent Change November 2006 vs. November 2007 for the Phoenix, Arizona Metro Area.

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Those are MLS area boundaries.

Latest Earthquakes in the World - Past 7 days

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Latest Earthquakes Magnitude 2.5 or Greater in the United States and Adjacent Area sand Magnitude 4.0 or Greater in the Rest of the World - Last 7 days

The source is USGS ---> http://earthquake.usgs.gov/eqcenter/recenteqsww/Quakes/quakes_all.php

They have some other good KML files that they made themselves but I didn't find any that were 'animated' so I made this. I'm not sure how to automate it though.

ANTOFAGASTA, CHILE looks a little bumpy lately.

I did give the points a height value based on magnitude but even after I assigned 1000 meters of height to each point of magnitude, it just doesn't seem to make much difference and I stopped caring. Richter scale 2.5-3.8 is green, 3.9-5.4 is yellow, and 5.5-7.7 is red.

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Now playing: The Good, The Bad & The Queen - Kingdom Of Doom
via FoxyTunes

Spread of Africanized Honey Bees in the US

What this map layer shows:

The distribution of Africanized honey bees, by county, as of 2005.

You can animate the timeline to view the speed of the spread.

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U.S. Tornadoes 1950-2004 (animated)

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Data from here ---> http://www.nationalatlas.gov/mld/tornadx.html

1 meter of height for each fatality.

Green = 0-10 fatalities
Yellow = 11-50
Red = 51-116

California Fire Costs

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According to http://www.realquest.com/breaking-news.html

Green = 1-30 houses affected
Yellow = 31-92 houses
Red = 93-205 houses

100 meters in height per house affected.

Call for data

If you have any data you would like to see presented in Google Earth in 4 dimensions (3D plus time), please comment here. The data should have counts of something like:

incidents for incident tracking
sales volumes
polling data
etc.

location data like:

countries, states, zipcodes, lattitudes & longitudes, cities, metropolitan statistical areas, etc.

and the data should also have a time element, if possible, like:

Dates & times of any precision. Could be per century or by the second or whatever.

I am also interested in hearing ideas about what would look interesting or informative in this type of exhibit. Now taking requests.

Selected Presidential Reports For The 2007 October

http://query.nictusa.com/pres/2007/Q3/

CONTRIBUTIONS BY ZIP For remaining candidates for the FEC October Quarterly report of 2007. 1 dollar equals 1 foot of height.

Red = $1 - $15,000
Yellow = $15,001 - $70,000
Green = $70,001 +

View the following responses for the rest of the candidates. The files are for the entire nation but the screenshots are of the zip codes with the highest donations for this reporting period for that particular candidate.

Biden


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Clinton

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Dodd

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Edwards

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Giuliani

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Gravel

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Huckabee

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Hunter

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Kucinich

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McCain

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Obama

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Paul

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Richardson

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Romney

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Tancredo

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Thompson

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California Fires in 4D for 2006

View in Google Earth View in Google Maps

It's only 4D in that the temp value is represented in foot height and you can use the slider to animate the sequence of fires.

Data taken from http://activefiremaps.fs.fed.us/gisdata.php

Terra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time data acquired by the USDA Forest Service Remote Sensing Applications Center, University of Wisconsin Space Science and Engineering Center, University of Alaska-Fairbanks Geographic Information Network of Alaska, the NASA Goddard Space Flight Center Direct Readout Laboratory, and NASA Goddard Space Flight Center MODIS Rapid Response System. Data provided in shapefile and coverage formats and is updated hourly.

I recommend either clamping the silder to the beginning and pressing play or restricting it to a length of 1 month and sliding manually.

The file contains all fire data for California for 2006. Let me know how I can make it better.

California Fires in 4D for 2007 YTD

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It's only 4D in that the temp value is represented in foot height and you can use the slider to animate the sequence of fires.

Data taken from http://activefiremaps.fs.fed.us/gisdata.php

Terra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time data acquired by the USDA Forest Service Remote Sensing Applications Center, University of Wisconsin Space Science and Engineering Center, University of Alaska-Fairbanks Geographic Information Network of Alaska, the NASA Goddard Space Flight Center Direct Readout Laboratory, and NASA Goddard Space Flight Center MODIS Rapid Response System. Data provided in shapefile and coverage formats and is updated hourly.

I recommend either clamping the silder to the beginning and pressing play or restricting it to a length of 1 month and sliding manually.

The view is snapped to San Diego County but the file contains all fire data for California for 2007 YTD. Let me know how I can make it better.

Dam Timeline Demo

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Wrote a macro to extract time data out of a KML file with temporal attributes and auto-tag the placemark with that information.

This example uses Dam Completion data from 1850 to 1996.

If anybody has any data with counts, dates, and locations for me to play with, please let me know.

4D sales presentation concept

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I'm taking comments & suggestions

Red = low range
Yellow = mid range
Green = top range

This example is sales but it could be counts for anything at any time for anywhere.

MSA Permits 2006 & 2007 Jan-Jul

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This data is from the National Association of Home Builders

http://www.nahb.org/page.aspx/category/sectionID=130

And reflects data in this MS Excel file (dated 8/27/2007):

http://www.nahb.org/fileUpload_details.aspx?contentID=55104

Looks like housing permits were cut in half compared to last year.

Phoenix Metro Housing Permits 4D 1996-2008

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This is an experiment. I took data from several sources but mainly from here:

Census dot gov

2007-2008 are projections (probably bad projections).

Click the play button on the time component to see the permits go up and down. 1-600 permits in red. 601-3000 permits in yellow. 3001+ permits in green. 1 permit equals 1 meter of height.

I think i'll do something more interesting next.

500 Top foreclosure zip codes

Where the most foreclosures have been filed.

According to this ---> http://money.cnn.com/2007/06/19/real_est...on=money_latest

Another quick & dirty KML from me: (my zipcode layer is a little dated)
High end = Cleveland

Low end = Phoenix Metro
Las Vegas
Detroit
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GDP by Country 3D graph

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Economy Statistics > GDP > Nominal (per capita) by country represented by a meter of height per dollar multiplied by 50

DEFINITION: the value of all final goods and services produced within a nation in a given year. GDP dollar estimates here are calculated at market or government official exchange rates. Per capita figures expressed per 1 population.
SOURCE: World Bank Statistics, 2004
http://www.nationmaster.com/graph/eco_gdp_percap-economy-gdp-nominal-per-capita

US Migration Patterns 2006

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Inbound shipments minus Outbound shipments represented in meter height multiplied by 100. Negative values have no altitude.

US Oil Consumption per Capita by State

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According to http://www.statemaster.com/graph/ene_pet_con_percap-energy-oil-consumption-per-capita

Represented by 10,000 meters of height per barrel used per capita annually. So Alaskans use 76.994 barrels of oil per capita annually, Connecticut folks 0.226 per capita annually.

World Population Exploding 3D Graph

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World Population by Country represented as foot height per person divided by about 100 just to get China to show up on the map. India takes a close second place. According to CIA Factbook.

World Oil Reserves

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I actually embedded the table into this one:



World Oil Reserves by Country represented as foot height per barrel divided by about 1,000 just to get Saudi Arabia to show up on the map. Canada takes a close second place. According to CIA Factbook. This file was last updated on 8 February, 2007

World Oil Consumption Per Capita

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World Oil Consumption Per Capita by Country according to CIA Factbook.

I had to mess with this data a little bit to get it to show up on google earth. At first I just divided each countries consumption by its population to get per capita but the numbers were so low that they would not show up at all here. Even multiplying per capita use by 365 to get a years worth of data only had the USA using 24 barrels a year per capita. So after I got a figure for a year I also multiplied them all by a factor of 100,000 and so what you are seeing is the data from the CIA factbook in consumption of barrels per day per country divided by the countries current population for per capita and multiplied 36,500,000 times to get its representation in meters of height. I was surprised to see Singapore take the lead in per capita use! The USA comes in only 9th place right ahead of Canada. Interesting.

The CIA file was last updated on 8 February, 2007

World Oil Consumption

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World Oil Consumption by Country represented as foot height per barrel per day according to CIA Factbook.

This file was last updated on 8 February, 2007

could use a little organizing... this was a quick & dirty output

World Oil Production

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World Oil Production by Country represented as foot height per barrel per day according to CIA Factbook.

This file was last updated on 8 February, 2007

Color-coding country leaders by gender

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According to http://www.filibustercartoons.com/charts_rest_female-leaders.php

Number of Millionaires by State

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According to Geohive