You are currently browsing the category archive for the 'Visualization' category.
“Biodiverse is a tool for the spatial analysis of diversity using indices based on taxonomic, phylogenetic and matrix-based (e.g. genetic distance) relationships, as well as related environmental and temporal variations.
“Biodiverse supports four processes:
- linked visualisation of data distributions in geographic, taxonomic, phylogenetic and matrix spaces;
- spatial moving window analyses including richness, endemism, phylogenetic diversity and beta diversity;
- spatially constrained agglomerative cluster analyses; and
- randomisations for hypothesis testing.”
Improvements Include New Analysis Gallery and Updated ArcGIS Online Basemaps
The new release of ESRI ArcGIS Explorer builds on its intuitive design, improving access to geoprocessing services and expanding available maps in the Basemap Gallery. ArcGIS Explorer is a free, downloadable globe viewer with geographic information system (GIS) functionality.
The release features a new Analysis Gallery that allows users to directly connect to and use geoprocessing services. To use advanced analytic tools, users can click the tool in the new gallery. Additionally, the Basemap Gallery has been updated to offer new ArcGIS Online imagery as well as topographic and street maps. Finally, Bing Maps services (Aerials, Hybrid, and Roads) are built right into ArcGIS Explorer and are ready to use with no registration required.
The Basemap Gallery has been improved with the new Manage My Basemaps option. Users can now customize the Basemap Gallery by adding or removing basemaps from it or even changing the thumbnail image associated with each basemap. The new release also supports enhanced layer package properties, improved feature labels, and the ability to fly along user-defined paths.
To learn more about or download the new release of ArcGIS Explorer, visit www.esri.com/arcgisexplorer.
[Source: ESRI press release]
“Some of science’s most powerful statements are not made in words. From the diagrams of DaVinci to Rosalind Franklin’s x-rays, visualization of research has a long and literally illustrious history. To illustrate is to enlighten.
“How many people would have heard of fractal geometry or the double helix or solar flares if they had been described solely in words? In a world where science literacy is dismayingly rare, illustrations provide the most immediate and influential connection between scientists and other citizens, and the best hope for nurturing popular interest. Indeed, they are now a necessity for public understanding of research developments.
“The National Science Foundation (NSF) and Science created the International Science & Engineering Visualization Challenge to celebrate that grand tradition–and to encourage its continued growth. The spirit of the competition is for communicating science, engineering and technology for education and journalistic purposes.
“Judges appointed by the National Science Foundation and the journal Science will select winners in each of five categories: photographs, illustrations, informational graphics, interactive media and non-interactive media. The winners will be published in a special section of the journal Science and Science Online and on the NSF Web site. One of the winning entries will be on the front cover of Science. In addition, each winner will receive a free, one-year print and on-line subscription to the journal Science and a certificate of appreciation.
“We urge you and your colleagues to contribute to the next competition. Find out more about guidelines for submissions including entry forms.
“View a video highlighting past winners of the International Science & Engineering Visualization Challenge.”
…from the National Science Foundation TeraGrid Workshop on Cyber-GIS, 2010…
Ming-Hsiang Tsou
“Currently, most cyberinfrastructure research projects in the GIS community are focusing on utilizing cyberinfrastructure to advance GIScience and geospatial technology. This position paper will provide an alternative view to highlight the possibility of utilizing GIS and cartographic methods to understand and visualize the Semantic Web and cyberinfrastructure.
“In the digital age, ideas and concepts can be disseminated with incredible speed through the Internet and cyberinfrastructure. GIS, cartographic representation methods, and geo-locating skills for websites could be applied to create a dynamic information landscape of the Semantic Web for specific topics or themes (such as natural disasters, human activities, and radical social movements). Tracking and visualizing the dynamic spread of ideas might help us reveal important social contexts of specific themes and understand the temporal and spatial relationships among them.”
- Read the position paper [PDF]
…from V1 Magazine…
“V1: You’re a high-energy individual that has applied every waking hour for more than 40 years toward the design and application of technology to help manage the earth. Are your concerns for our planet a strong motivator for you?
“Dangermond: This purpose has always been the reason for ESRI, and why all of us here work so hard. I think in our own small way ESRI, through the incredible work of our users, has been able to make a difference. However, given the immensity of the problem there is so much more to be done, and we need to keep driving our vision of integrating geographic thinking into virtually all human activities.”
06 – 07 July 2010, Salzburg, Austria
“This theme is expected to highlight different developed and currently investigated methodologies to spatially assess vulnerability. It will specifically address the issue of vulnerability assessment, independent from conceptual discussions. The focus will be on the review and discussion of different methods of GIScience employed to assess, quantify and represent vulnerability as integrated spatial phenomena. Within a workshop session, current achievements and future research challenges will be identified and formulated.
“Topics:
- Assessments in the domains of disaster risk reduction, climate change, natural hazards and human security;
- Methods for indicator selection and index construction;
- Scale issues in vulnerability assessments;
- Validation and accuracy of vulnerability assessments;
- Spatio-temporal visualisation of complex indicators.
“The workshop is scheduled for Tuesday, July 6 and Wednesday, July 7, 2010 and will be followed by the annual GI_Forum. In addition to presentations ranging from different scholarly schools of vulnerability the workshop will focus on output oriented discussion sessions.
“The papers will be peer-reviewed and published in a book.”
…from the Anchorage Daily News…
From 2005 to 2007, 11 grizzly bears in Anchorage were captured and fitted with radio collars that transmitted their locations. Follow their travels through the town.
Annals of GIS, Volume 15, Issue 2 December 2009 , pages 75 – 84
Li Deren; Wang Mi; Hu Qingwu; Hu Fen
“The three-dimensional (3D) visualization of geospatial information constitutes a fundamental property of the geo-information services nowadays, along with the requirements of popularity, openness and capabilities of target measuring and knowledge mining. Accordingly, in this article, the two major technical routines now applied to 3D visualization of geospatial information, that is the graphics-based approaches and the imagery-based approaches, are both described and discussed. After a comparative analysis of both advantages and disadvantages of the two manifestation modes, an optimized integrative strategy for 3D visualization of geospatial information is proposed finally.”
International Journal of Geographical Information Science, Volume 23, Issue 11 November 2009 , pages 1453 – 1470
Eihan Shimizu; Ryo Inoue.
“A distance cartogram is a diagram that visualizes the proximity indices between points in a network, such as time-distances between cities. The Euclidean distances between the points on the distance cartogram represent the given proximity indices. This is a useful visualization tool for the level of service of transport, e.g. difference in the level of service between regions or points in a network and its improvement in the course of time. The two previously proposed methods—multidimensional scaling (MDS) and network time-space mapping—have certain advantages and disadvantages. However, we observe that these methods are essentially the same, and the merits of both these methods can be combined to formulate a generalized solution. In this study, we first formulate the time-space mapping problem, which includes the key features of both of the above stated methods, and propose a generalized solution. We then apply this solution to the time-distances of Japan’s railway networks to confirm its applicability.”

