Spatial Epidemiology & Ecology Research Laboratory (SEER Lab) | EPI SEER Lab leads study on space-time stability of plague hosts in Azerbaijan Plague, caused by the bacterium Yersinia pestis, remains a human health risk. The disease circulates in rodent populations and can be a major health threat in developing nations with large […] SEER Lab co-authors study on Georgian livestock brucellosis Brucellosis is arguably one of the most prevalent zoonoses shared between livestock and humans worldwide. SEER Lab trains Ukrainian scientists in GIS Through funding provided by the DTRA Cooperative Biological Engagement Program, SEER Lab is providing a 3-day workshop on spatial clustering and spatial analaysis to veterinarians with the Institute of Veterinary […] SEER Lab and WRAIR partner to train the Kyrgyz Institute of Biotechnology The SEER Lab has partnered with the Department of Emerging Bacterial Infections, Walter Reed Army Institute of Research to provide the Kyrgyz Institute of Biotechnology, a part of the Kyrgyz […] News
Classics - John Snow: The London Cholera Epidemic of 1854 It wasn't until 1854 that Cholera struck England once again, that Snow was able to legitimate his argument that Cholera was spread through contaminated food or water. Snow, in investigating the epidemic, began plotting the location of deaths related to Cholera (see illustration). At the time, London was supplied its water by two water companies. One of these companies pulled its water out of the Thames River upstream of the main city while the second pulled its water from the river downstream from the city. A higher concentration of Cholera was found in the region of town supplied by the water company that drew its water form the downstream location. After the panic-stricken officials followed Snow's advice to remove the handle of the Broad Street Pump that supplied the water to this neighborhood, the epidemic was contained. Snow's classic study offers one of the most convincing arguments of the value of understanding and resolving a social problem through the use of spatial analysis.
R2V, raster to vector conversion, GIS, mapping, CAD R2V is an advanced raster to vector conversion software for automated map digitizing, GIS data capture and CAD conversion applications. R2V is currently being used in more than 60 countries by thousands of users for mapping and GIS data conversion applications. R2V supports fully automatic vectorization and interactive line tracing from scanned maps and drawings. R2V provides complete on-screen image and vector editing, labeling, and geo-referencing using GeoTIFF or user specified control points, image rubber sheeting, color image classification and separation, text symbol detection and recognition (OCR), automatic polygon layer creation, 3D DEM and Grid creation, and 3D display and image draping. "Thanks to the batch functions within R2V, we were able to complete the task 6.5 weeks ahead of schedule Version Française This article has been translated to Serbo-Croatian language by Jovana Milutinovich.
Lesson 5: Interpolation - From Simple to Advanced | GEOG 586: Geographic Information Analysis Printer-friendly version Introduction In this lesson, we will examine one of the most important methods in all of spatial analysis. Frequently data are only available at a sample of locations when the underlying phenomenon is, in fact, continuous and, at least in principle, measurable at all locations. The problem, then, is to develop reliable methods for 'filling in the blanks.' The most familiar examples of this problem are meterological, where weather station data are available, but we want to map the likely rainfall, snowfall, air temperature, and atmostpheric pressure conditions across the whole study region. The general name for any method designed to 'fill in the blanks' in this way is interpolation. Learning Objectives By the end of this lesson, you should be able to Questions? Please use the 'Week 5 lesson and project discussion' forum to ask for clarification on any of these concepts and ideas.
SAGES: A Suite of Freely-Available Software Tools for Electronic Disease Surveillance in Resource-Limited Settings Public health surveillance is undergoing a revolution driven by advances in the field of information technology. Many countries have experienced vast improvements in the collection, ingestion, analysis, visualization, and dissemination of public health data. Resource-limited countries have lagged behind due to challenges in information technology infrastructure, public health resources, and the costs of proprietary software. The Suite for Automated Global Electronic bioSurveillance (SAGES) is a collection of modular, flexible, freely-available software tools for electronic disease surveillance in resource-limited settings. One or more SAGES tools may be used in concert with existing surveillance applications or the SAGES tools may be used en masse for an end-to-end biosurveillance capability. Figures Editor: Abdisalan Mohamed Noor, Kenya Medical Research Institute - Wellcome Trust Research Programme, Kenya Received: November 23, 2010; Accepted: April 15, 2011; Published: May 10, 2011
geoviz - This is a toolkit for geographic visualization and analysis To try the GeoViz Toolkit with Google Flu data pre-loaded, click on the launch button below. Java 6.0+ required. Get Java The GeoViz toolkit is a project derived from the GeoVISTA Studio project. This is alpha quality code, expect things to randomly break, code to be refactored at any time, etc. The most stable current build is available from The API Docs are available from: Previous binary versions are available from Previous source versions are in the repository, of course! YourKit is kindly supporting this open source project with its full-featured Java Profiler. If something has broken that you were enjoying, please let me know at firstname.lastname@example.org.
PAIGH Home Home Join AAG Knowledge Communities Jobs Contribute Bookstore Contact Us RSS Problems logging in? Get Help The Pan-American Institute of Geography and History (PAIGH) is a technical and scientific body of the Organization of American States specializing in the areas of cartography, geography, history and geophysics. For 80 years, the organization has promoted collaboration throughout the Americas by sponsoring conferences, publishing journals and organizing workshops. Pan-American Institute of Geography and History Meet the US National Section US National Section Meetings US National Section Projects International PAIGH Home (Español) The USNS Cartography Commission The USNS Geography Commission The USNS History Commission The USNS Geophysics Commission
Leveraging Geospatially-Oriented Social Media Communications in Disaster Response Abstract Geospatially-oriented social media communications have emerged as a common information resource to support crisis management. The research presented compares the capabilities of two popular systems used to collect and visualize such information - Project Epic’s Tweak the Tweet (TtT) and Ushahidi. The research uses geospatially-oriented social media gathered by both projects during recent disasters to compare and contrast the frequency, content, and location components of contributed information to both systems. The authors compare how data was gathered and filtered, how spatial information was extracted and mapped, and the mechanisms by which the resulting synthesized information was shared with response and recovery organizations. In addition, the authors categorize the degree to which each platform in each disaster led to actions by first responders and emergency managers. Article Preview Introduction
The Trauma Signature of Hurricane Sandy By James Shultz and Yuval Neria Published November 14, 2012 Two feet of snow blankets the trails of Snowshoe Mountain, West Virginia—on Halloween! Eight million mid-Atlantic residents lose electricity. Jamaica takes a direct hit from a newly minted Category 1 hurricane. These diverse events, compressed into the span of a single week, were all manifestations of one massive weather system that became known as “Superstorm Sandy.” Sandy was a meteorological chimera. How do we begin to make sense of the range of potential health effects of such a novel event? Trauma Signature Analysis We are actively exploring how the physical forces of harm in a disaster transform into both physical and psychological consequences for the disaster-affected population using an approach called trauma signature analysis, or TSIG. TSIG provides a much-needed tool to expedite the provision of evidence-based, actionable guidance for a coordinated disaster health response. Sandy’s Trauma Signature Not Sandy.
Project EPIC » Tweak the Tweet Tweak the Tweet Tweak the Tweet is a hashtag-based syntax to help direct Twitter communications for more efficient data extraction for those communicating about disaster events. Use requires modifications of Tweet messages to make information pieces that refer to #location, #status, #needs, #damage and several other elements of emergency communications more machine readable. We have deployed TtT for multiple events during 2010 and 2011, including the Haiti earthquake, the Chile earthquake, the Oil Spill, the Fourmile Canyon file in Boulder, the Queensland floods, Cyclone Yasi, and a variety of other weather emergency events. Resources TtT Client : We have developed a client that promotes tweeting in the correct syntax. Map of Boulder fire geolocated tweets Current map, geolocated tweets Tweak the Tweet by Kate Starbird & Project EPIC is licensed under a Creative Commons Attribution 3.0 Unported License
UNISDR Natural Earth International Programs - Information Gateway Frequently Asked Questions (FAQ) 1. What is the International Data Base? The International Data Base (IDB) offers a variety of demographic indicators for countries and areas of the world with a population of 5,000 or more. World and Region demographic indicators in the IDB, including population totals, exclude the populations of countries and areas with fewer than 5,000 people. The IDB has provided access to demographic data for over 25 years to governments, academics, other organizations, and the public. 2. The IDB provides many types of demographic data, including: · Estimates and projections of: Birth, death, and growth rates, migration rates, infant mortality, and life expectancy Fertility rates Total population and population by age and sex 3. The following ZIP file contains the complete data set which has currently been released and is used by the International Data Base tool. 4. 5. The following reports cover fertility, mortality, and migration: 6. (play button). 7. 8. 9. 10. 11.
Course Home Page | GEOG 497B: Location Intelligence for Business Printer-friendly version Location Intelligence for Business New to GEOG 497B? Registered students—if this is your first visit to this course website, please take some time to become familiar with the course environment by visiting the Course Orientation (on the left navigation bar). This website provides the primary outline and materials for the course. Not registered? Quick Facts about GEOG 497B Instructor: Wes Stroh, email@example.comCourse Structure: Online, 10+ hours a week for 10 weeks, 3 creditsOverview: GEOG 497B is an elective course for Penn State's Online Certificate in GIS, Certificate in Geospatial Intelligence, and Master of GIS. Course Overview We chose the title, "Location Intelligence for Business" for this course in lieu of "Business GIS" or "Business Geography" with reason. In business, the application of maps and mapping technology ranges from long present (in commercial real estate, retail, and logistics) to nascent in many industries. What will be expected of you?