Difference between revisions of "SOCR Cartography Project"
(New page: ==SOCR Project - Development of the SOCR Cartography Applet/Interface== ===Project Goals=== To develop an agile and functional Java interface and an applet that integrates availab...) |
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===Project Goals=== | ===Project Goals=== | ||
| − | To develop an agile and functional Java interface and an applet that integrates available [[SOCR]] resources (e.g., [[SOCR_EduMaterials_ChartsActivities | SOCR Charts]]) and provide the means to enter geo-political data and construct proportional cartography maps. In these maps, the sizes of different geographic regions, such as countries, provinces, continents, etc., appear proportional to the data provided by the user. The new | + | To develop an agile and functional Java interface and an applet that integrates available [[SOCR]] resources (e.g., [[SOCR_EduMaterials_ChartsActivities | SOCR Charts]]) and provide the means to enter geo-political data and construct proportional cartography maps. In these maps, the sizes of different geographic regions, such as countries, provinces, continents, etc., appear proportional to the data provided by the user. The new '''SOCR Cartographic Charts''' will use the fundamental [[SOCR]] development principals and be accessible via the [[SOCR]] web-server. |
| − | ==Background | + | ==Background== |
Many of the [[SOCR_EduMaterials_ChartsActivities | SOCR Charts]] provide advanced tools for computational and graphical exploratory data analysis. Typical geo-political maps represent the world in a flat 2D Euclidean space where the North Pole looks huge and the equator appears small (Gastner and Newman, 2004). Data obtained for different geographic, political or regional locales may be used to morph the standard world atlases into cartographic maps that represent the areas, colors or glyphs of different regions according to the (multi-modality) data. Such maps are called '''data-driven-cartographic maps'''. | Many of the [[SOCR_EduMaterials_ChartsActivities | SOCR Charts]] provide advanced tools for computational and graphical exploratory data analysis. Typical geo-political maps represent the world in a flat 2D Euclidean space where the North Pole looks huge and the equator appears small (Gastner and Newman, 2004). Data obtained for different geographic, political or regional locales may be used to morph the standard world atlases into cartographic maps that represent the areas, colors or glyphs of different regions according to the (multi-modality) data. Such maps are called '''data-driven-cartographic maps'''. | ||
==Project Specifications== | ==Project Specifications== | ||
| − | + | * Review the references below. | |
| + | * Develop the computational model for handling multi-modal data (e.g., [ GDP], [ population size], [ average income], [ CPI], etc.) The user should be able to map these data to specific cartographic features (e.g., region area, size, color, glyphs, etc.) | ||
| + | * Plan the extension of [[SOCR_EduMaterials_ChartsActivities | SOCR Charts]] and [[SOCR_MotionCharts | SOCR Motion Charts]] to design and implement this new infrastructure. | ||
| + | * Test and validate the new '''SOCR Cartographic Charts''' with real data and deploy to [[SOCR]] production server. | ||
==References== | ==References== | ||
| − | * [http://www. | + | * [http://www-personal.umich.edu/~mejn/ Example of a cartographic Applet]. |
| + | * M. Gastner and [http://www-personal.umich.edu/~mejn/ M. Newman] (2004). [http://www.pnas.org/content/101/20/7499 Diffusion-based method for producing density-equalizing maps]. PNAS 2004 101:7499-7504; published online May 10, 2004, doi:10.1073/pnas.0400280101. | ||
<hr> | <hr> | ||
| − | *[http://socr.stat.ucla.edu/docs/ | + | *[http://socr.stat.ucla.edu/docs/ SOCR JavaDoc] |
*[[Available_SOCR_Development_Projects]] | *[[Available_SOCR_Development_Projects]] | ||
*[[SOCR_ProposalSubmissionGuidelines]] | *[[SOCR_ProposalSubmissionGuidelines]] | ||
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Cartography_Project}} | {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Cartography_Project}} | ||
Revision as of 19:37, 9 December 2008
Contents
SOCR Project - Development of the SOCR Cartography Applet/Interface
Project Goals
To develop an agile and functional Java interface and an applet that integrates available SOCR resources (e.g., SOCR Charts) and provide the means to enter geo-political data and construct proportional cartography maps. In these maps, the sizes of different geographic regions, such as countries, provinces, continents, etc., appear proportional to the data provided by the user. The new SOCR Cartographic Charts will use the fundamental SOCR development principals and be accessible via the SOCR web-server.
Background
Many of the SOCR Charts provide advanced tools for computational and graphical exploratory data analysis. Typical geo-political maps represent the world in a flat 2D Euclidean space where the North Pole looks huge and the equator appears small (Gastner and Newman, 2004). Data obtained for different geographic, political or regional locales may be used to morph the standard world atlases into cartographic maps that represent the areas, colors or glyphs of different regions according to the (multi-modality) data. Such maps are called data-driven-cartographic maps.
Project Specifications
- Review the references below.
- Develop the computational model for handling multi-modal data (e.g., [ GDP], [ population size], [ average income], [ CPI], etc.) The user should be able to map these data to specific cartographic features (e.g., region area, size, color, glyphs, etc.)
- Plan the extension of SOCR Charts and SOCR Motion Charts to design and implement this new infrastructure.
- Test and validate the new SOCR Cartographic Charts with real data and deploy to SOCR production server.
References
- Example of a cartographic Applet.
- M. Gastner and M. Newman (2004). Diffusion-based method for producing density-equalizing maps. PNAS 2004 101:7499-7504; published online May 10, 2004, doi:10.1073/pnas.0400280101.
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