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Visualization Template Gallery
The gallery contains the different visualization templates available with Spatialkey in combination with a few sample data sets that highlight the features of that template. The visualization templates are generic enough to accomodate many different datasets. To launch the examples simply click on the image or click the "Lauch Application" link at the bottom of each description
Data Exploration Template
The Data Exploration template is an advanced geovisualization display that allows all aspects of the data to be filtered and many components of the visualization to be customized.
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Chicago Presidential campaign contributions (August 2008)Over 4,000 donations from Chicago in August were requested from the New York Times Campaign Finance API. The temporal patterns and geographic clusters of donations paint a rich picture of political spending in Obama's home base, in a month when the candidates were neck-and-neck. |
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Denver Presidential campaign contributions (Summer 2008)Over 3,000 campaign donations from Denver received between June 1st through August 31 were requested from the New York Times Campaign Finance API. Denver offers a unique geovisualization case study of the fund-raising data, given its unique position in a battleground state, both candidates visits to the city in the summer months, and the Democrats' convention there in August. |
Animation
The Animation template enables users to play back content over time, revealing trends that aren't visible in static snapshots of the data.
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Wal-Mart store openings (1962 - 2005)The growth of Wal-Mart provides a particularly compelling use case for the SpatialKey Animation Template. Though most know of Wal-Mart's southern provenance (Sam Walton opened the first Wal-Mart in Rogers, Arkansas, in 1962), the chain's subsequent spread and resulting dominance over American retail is a more complex phenomenon. Utilizing a dataset of over 3000 Wal-Mart store openings, from 1962 to 2005, our animation template shows the radial spread, increasing density, and overall coverage of the retail giant. |
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BrightKite check-ins (April 28 - May 19, 2008)BrightKite is a new geo-social network in which members alert friends of their current location via cell phone postings of photos or Twitter-like messages. Over 10,000 of these check-ins, including only users' first check-in from April 28 to May 19 of this year, can be visualized in our animation template. At a national scale, this visualization shows the growth of a startup and the spread of a location-based social network. At a more local level, the hottest neighborhoods and even individual bars and clubs are highlighted. |
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The Great Flood of 1993USGS Water Data provides free access to data collected at over 25,000 stations, some with historical data going back as far as 1980. Each station measures various hydrological and meteorological properties, including streamflow, precipitation, and water quality. With this data source, and the SpatialKey visualization templates, droughts, floods, and storm events of the last three decades can be explored. In this example, the Great Flood of 1993 can be visualized with streamflow data (in cubic feet per second) from all available stations on the Mississippi and Missouri Rivers. |
Drill Down
The Drill Down mapping template offers filtering by type, time, and geographic area. Drill down into aggregated data to reveal finer geotemporal patterns in your data.
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Wal-Mart Store Openings (1962 - 2005)The Wal-Mart store openings dataset was introduced in the Animation template. To demonstrate some of the additional filtering and aggregating capabilities of our geovisualization toolset, the same Wal-Mart dataset can be visualized in our Drill Down template. This template reveals more complex patterns by allowing users to filter data by type, time, or individual list. Some data sources may include dozens of type attributes; the Wal-Mart store openings dataset only includes one: whether the location is a Supercenter, regular store, or distribution center. In denser areas you can also drill down to reveal a more detailed view of the chain's spread. |
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San Antonio prostitution arrests (January, 2006 - July, 2007)San Antonio releases its own crime statistics, indicating the time, place, and type of crime, among other attributes. Filtering this dataset down to show only prostitution arrests reveals a crime tied to a very specific type of location: the street corner. Zoom into the hottest area on the heatmap to check this out (doing so will automatically switch to a graduated circle symbolization in this template). You'll see the arrests, aggregated into proportional symbols in denser areas, lined up along the streets, and concentrated at major intersections. |
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Sacramento crimes (November 2007)Sacramento, California, like San Antonio, Texas, releases its own crime statistics, indicating categories (like "Traffic") and sub-categories (like "Hit and Run"), as well as time and place of the arrest or incident. Explore the different crime subcategories, and see how filtering based on them reveals unique geographic and temporal patterns. |
Map Comparison
The Map Comparison template allows you to see two thematic maps side-by-side, both of which can be varied independently or locked together by time or place.
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D.C. Construction data (2004 - 2007)The D.C. construction market provides a good example of a complex geotemporal (location + time) system. As in any city, construction increases and decreases over both time and space. The particular ebbs and flows of construction in the D.C. area, though, are particular to that metropolis. The dataset for this visualization comes from DCStat, a pioneer in open city data, and includes all completed construction projects reported by the District Department of Transportation from 2004 to 2007. |
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Terrorist attacks on infrastructure (2004 - 2007)The Worldwide Incidents Tracking System compiles data on reported terrorist attacks across the world. The specific dataset mapped here concerns attacks on infrastructure, and spans the years 2004-2007. Though the dataset is global, we focus on the attacks in Iraq and the disturbing increase in violence there. This dataset provides a good use case for mapping aggregates -- rather than just mapping the locations of attacks, the animation template can symbolize these attacks by an attribute, such as the number taken hostage, wounded, or killed. In Iraq, while the number of attacks rises and falls over the period displayed, the violence of the attacks continues to increase. |
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Sacramento home sales over 3000 square feet (2003 - 2008)Sacramento’s housing market offers a case study of the nationwide trend toward lower home prices over the last few years. This dataset, acquired by Universal Mind from the Sacramento Bee, includes nearly 10,000 home sales from 2003 through May, 2008. Only sales of homes over 3000 square feet are included. Witness the decline in average house prices, particularly notable between 2006 and 2007. |
Temporal Heat Index
The Temporal Heat Index template brings out hidden time-related trends in your data through an advanced visualization grid.
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Sacramento burglaries (January, 2006 - November, 2007)Over 7000 robbery records, with date and location information, were retrieved from the city of Sacramento. All of these records can be filtered in real-time, client-side, in our Temporal Heat Index template. The heat index visualization component allows you to search for complex temporal patterns in geotemporal data. After an overview of the data, zoom in or filter for detailed maps of the most robbery-prone areas in Sacramento. |
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Sacramento sex crimes (February, 2004 - November, 2007)Arrests for sex crimes (mostly prostitution) in Sacramento are highly concentrated along Stockton Boulevard and Broadway. Zoom in to reveal an even finer pattern, as certain street corners account for the majority of arrests. Also notice the temporal trends revealed in the heat index visualization component. Switch the heat index grid to the 3d view to further explore the trend by panning the 3d data model. |
