Geovisualization in Neogeography?

GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany

Tanmoy Das and Menno-Jan Kraak

“Recently, a new domain of GI Science has been emerged after the conceptualization of web 2.0. This domain is promoting use of geographic information (GI) by non-expert users. These are actively engaged in creating, visualizing and sometimes analyzing GI. This GI is user-generated content (UGC), more specifically User-Generated Geo-Content (UGGC) because it has been geotagging with locational information. It is the domain of neogeography. Principally, UGGC can be visualized via mash-ups of both spatial and non-spatial data (linked with spatial objects) from multiple sources. This on top of base maps offered by Google Maps, Bing Maps, or even Open Street Map which it self is UGGC. The visual products of mash-ups can be termed neogeography maps. Neogeography maps are easy, fast and cheap to create and to disseminate when compare to conventional maps. Consequently, neogeography can be seen as an alternative / additional source of GI (maps).”

Internal Migration in Malaysia: Spatial and Temporal Analysis

PhD thesis, University of Leeds, 2009

Mohd Razani Mohd Jali

“Some of the theories in the third world countries claimed that rural to urban migration was the result of rapid urbanisation in many developing countries. With the hypothesis that migration, especially rural to urban migration, is the dominant factor for urbanisation in Malaysia, a study is undertaken to investigate whether this hypothesis is still valid. Using data from the Malaysian Censuses of 1991 and 2000, this study embarked into some empirical analysis to understand the dynamics of population movements in Malaysia and how this has shaped the population settlement in this country. The study is about time and spatial structure. The urban and rural areas in Malaysia are shaped through time and by population shifts within and between its settlements. The study analyses the population shifts by looking at internal migration in three different levels, the state level, the district level and the urban/rural level. The empirical analyses and evidences at these levels comprised the major part of this thesis. Conclusions are drawn from these analyses. The study found that short distance migration is prominent in Malaysia, although the number of population migrated from one area to the other have decreased in recent years. The rate of long distance migration is also increasing which probably the result of higher standard of living and better transportation infrastructures and facilities. The study also found that urban to urban migration has been dominant both within and between the states in Malaysia in the last few decades. Rural to urban migration is no longer dominant. In fact, rural to rural migration has been shown to be higher in many states than rural to urban migration. The study also concluded that the expansion of urban areas between the Census periods have contributed to the urbanisation in Malaysia. The increase in urban population is the result of extending boundaries of the cities and urban areas by local authorities as well as the creation of new urban areas when the previously rural areas meet the requirement to become urban areas as defined by the authority.”

Geovisualization of Fishing Vessel Movement Patterns using Hybrid Fractal/Velocity Signatures

GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany

René A. Enguehard, Rodolphe Devillers, and Orland Hoeber

“While much work has been done on representing vessel movements, little work has been devoted to understanding and representing what particular movement patterns are associated with specific activities. Using fractal dimension as a measure of activity complexity, and velocity as a measure of activity type, it is possible to develop signatures for particular activities or behaviours. These signatures can then be used within a geovisualization system to highlight areas or data points of interest to the user. Within the context of fisheries enforcement, officers could use such a system with real-time data to quickly ascertain whether a vessel is acting illegally and increase the odds of catching them when they return to port.”

Geomorphometry Conference and Workshops, 07-11 September 2011

Location: Esri Campus Redlands, California, USA

Confernece web site:



  • If you wish to submit a presentation, please do so as soon as possible
  • Final camera-ready digital manuscripts due: 1 May 2011
  • Author registration & poster submission deadline: 15 May 2011
  • Early registration deadline: 15 May 2011

3 DAYS OF ORAL AND POSTER PRESENTATIONS in a single track.  PROGRAM CHAIRS:  John P. Wilson, University of Southern California; Michael Gould, ESRI; Ian S. Evans, Durham University and Tomislav Hengl, Wageningen University and Research.

A selection of papers will be invited for publication in a special issue of the Transactions in GIS.

KEYNOTE SPEAKERS include H Mitasova, J Gallant, Q Zhou, T Oguchi & A-Xing Zhu

AIMS AND SCOPE The Geomorphometry 2011 conference will continue a series initiated by the Terrain Analysis and Digital Terrain Modelling conference hosted by Nanjing Normal University in November 2006 and University of Zurich in 2009.

The aim of Geomorphometry 2011 is to bring together researchers to present and discuss recent developments in the field of quantitative modelling and analysis of elevation data. Geomorphometry is the science of quantitative land-surface analysis and description at diverse spatial scales. It draws upon mathematical, statistical and image-processing techniques and interfaces with many disciplines including hydrology, geology, planetary geomorphology, computational geometry, geomorphology, remote sensing, geographic information science and geography. The conference aims to attract leading researchers in geomorphometry presenting methodological advances in the field and to provide young researchers with an opportunity to present new results.

Redlands is in San Bernardino County and at the eastern end of the S. Californian metropolis, some 100 km east of Los Angeles. It is between ‘The Badlands’ and the San Bernardino Mountains, beyond which is the Mohave Desert.

2 days of WORKSHOPS: Geomorphometry will host a number of workshops, each with ca. 15-30 attendees after the conference (weekend).


  • PhD students: $200.00 USD
  • Everybody else: $375.00 USD

Registration fees for the workshops will be in the range $100-150 USD.

TO SUBMIT A PRESENTATION (2 to 4 page extended abstract):

  1. Download a template document.
  2. Prepare a paper following the preparation guidelines (see an example).
  3. Print a PDF version of your paper (embed all fonts and limit the compression to 300 DPI).
  4. Register at the EasyChair system.
  5. Login and submit a PDF of your article.

Development of the DUSTRAN GIS-Based Complex Terrain Model for Atmospheric Dust Dispersion

Pacific Northwest National laboratory, Final Technical Report PNNL-16588, May 2007

K. J. Allwine, F. C. Rutz, W. J. Shaw, J. P. Rishel, B. G. Fritz, E. G. Chapman, B. L. Hoopes, and T. E. Seiple

“Activities at U.S. Department of Defense (DoD) training and testing ranges can be sources of dust in local and regional airsheds governed by air-quality regulations. Activities that generate dust by disturbing local surfaces include vehicle and troop maneuvers, convoy movement, helicopter activities, munitions impacts, roadway preparations, and wind erosion. The use of smokes and obscurants, controlled burns, and engine operations also produce particulates.

“The U.S. Department of Energy’s Pacific Northwest National Laboratory (PNNL) just completed a multi-year project to develop a fully tested and documented atmospheric dispersion modeling system (DUST TRANsport or DUSTRAN) to assist the DoD in addressing particulate air-quality issues at military training and testing ranges. DoD’s Strategic Environmental Research and Development Program was the primary source of funding for the project with additional funding from the U.S. Forest Service and U.S. Environmental Protection Agency (EPA) to address their issues related to the “off-target” drift of aerially applied pesticides.

“DUSTRAN is constructed from widely used, scientifically defensible atmospheric models and model components. The modeling system efficiently couples these modeling components and advances the state-of-science in dust-emission formulations. DUSTRAN is based on Environmental System Research Institute’s ArcMap geographic information system (Version 9.x), the EPA-approved CALifornia PUFF (CALPUFF) dispersion model, and the widely used CALifornia GRID (CALGRID) dispersion model. The CALifornia METeorological (CALMET) model provides the meteorological fields (e.g., winds, mixing height) for the CALPUFF and CALGRID dispersion models. The modeling system runs on a personal computer under the Microsoft Windows XP operating system. DUSTRAN includes dust-emission models for estimating emissions from both wheeled military vehicle activities and dust generated by wind erosion. The primary features of DUSTRAN are:

  • The modeling domain is graphically specified and is size selectable (20 km to 400 km).
  • It operates at any U.S. geographic location and has an “Add Site” wizard that generates a new site’s supporting files and data structure for use in a simulation.
  • Single-station or multiple-station meteorology can be used and easily specified.
  • Multiple point, area, and line releases can be accommodated and specified graphically.
  • Simulation and release times are easily specified in the user interface.
  • The output concentrations and deposition contours can be viewed graphically, and the output can be animated to view the progression of the plume across the modeling domain.
  • Multiple particle sizes and gaseous species can be simulated at one time.
  • Simulation periods are typically a few hours to a few days.
  • The atmospheric models treat wet and dry deposition and complex terrain effects.”

Read the report [PDF]

Training Manual on Spatial Analysis of Plant Diversity and Distribution

…from Bioversity International…

“This training manual is intended for scientists and students who work with biodiversity data and are interested in developing skills to effectively carry out spatial analysis based on (free) GIS applications with a focus on diversity and ecological analyses.

“These analyses offer a better understanding of spatial patterns of plant diversity and distribution, helping to improve conservation efforts. The training manual focuses on plants of interest for improving livelihoods (e.g. crops, trees and crop wild relatives) and/or those which are endangered.

“Spatial analyses of interspecific and intraspecific diversity are explained using different types of data:

  • species presence
  • morphological characterization data
  • molecular data

“Although this training focuses on plant diversity, many of the types of analyses described can also be applied for other organisms such as animals and fungi.”

Using GIS in Nuclear Power Plant Emergency Evacuation Planning

2010 Esri Homeland Security Summit

Sandra Forte

“Developing thorough emergency evacuation plans plays a vital role in ensuring public safety. Federal regulations require that detailed evacuation plans be developed for the emergency planning zone (EPZ) surrounding a nuclear power plant. These plans include evacuation time estimates (ETE) which are used by local emergency response personnel in preparing protective action recommendations for the public. Esri’s ArcMap is an essential tool in evacuation planning. Using ArcMap, planning data are spatially distributed within the EPZ. These data are analyzed using Arc Map tools and used as inputs to compute ETE. In addition, ArcMap creates effective maps included in the evacuation plan, which easily identify: EPZ residents that live in the area being evacuated, best routes for travel out of the area at risk, critical intersections manned by law enforcement personnel to facilitate traffic flow out of the area at risk, and special facilities within the area being evacuated.”

Automated Object-Identification for Isolated Transient Landforms in Remote-Sensing Data

GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany

Lucia Tyrallova, Stephan van Gasselt, and Hartmut Asche

“Automated object identification and statistical characterization of morphometric key values are valuable tools in the field of geomorphology in order to identify processes and process-response systems related to climatic boundary conditions. The automated detection of primary climate-related landforms and the assessment of their change throuth time and three decades of remote-sensing observations allow and help to quantify and find predictors for the consequences of climate change. Approaches and concepts for object-catalog based detection of landforms within a commercial GIS suite are discussed and presented for the study cases of two major climate tracers: dunes and thermokarst features.”

Application of GIS for Population Dose Assessment in the Chernobyl Accident Area

IRPA-10 (10th International Congress of The International Radiation Protection Association), 14 – 19 May 2000, Hiroshima, Japan

B.I.Yatsalo, M.I.Balonov, V.Yu.Golikov, and V.I. Didenko

“Simple dose models may be useful for preliminary, crude or conservative estimations of doses to the population. However, after the Chernobyl accident experts were faced with the practical task on assessing the most probable/real dose of external and internal exposure in different groups of population. And simplified models were not able to incorporate in and reflect a lot of site specific characteristics (inhomogeneity of contamination, the structure of land use, implementation of the countermeasures (CMs), behaviour of the population, etc.). In connection with this the further steps on development of special dose estimation methods taking into account the features of the Chernobyl contamination were undertaken.

“Description of original approaches on actual implementation of up-to-date information technologies – geoinformation systems (GIS) for estimation of doses to the local population in Bryansk region (Russia) are briefly presented in this paper.”

Global Heritage Fund Launches Innovative Early Warning and Threat Monitoring System for Cultural Heritage Sites in Developing Countries

Global Heritage Network (GHN) Enables Worldwide Expert and Stakeholder Collaboration Using Satellite Imaging Technologies to Save Earth’s Most Significant and Endangered Cultural Heritage Sites

Global Heritage Fund (GHF) today launched Global Heritage Network (GHN), the first early warning and threat monitoring system exclusively devoted to saving endangered cultural heritage sites in developing countries.

“GHN serves as an early warning system for our irreplaceable global heritage sites on the brink of being lost by engaging a broad community of conservators, archaeologists, local communities, government officials, donors, and volunteers to save our global heritage for future generations,” said Jeff Morgan, Executive Director of GHF.

Using Google Earth and social networking, combined with scientific mapping from Esri, satellite imagery from DigitalGlobe and imagery analysis software from ITT Visual Information Solutions, GHN enables international experts, local communities, funders, volunteers and travelers to help protect, preserve and sustain global heritage sites facing accelerating and simultaneous threats in developing countries.

“Advances in satellite imagery make it possible to regularly monitor and analyze the impact of the business, market, environmental and political changes that impact people around the world,” said DigitalGlobe Chairman and CEO Jill Smith. “Now, working with the Global Heritage Fund and its partners, we can use our high tech witnesses in the sky for an even greater purpose, and help the fund’s work to protect and preserve some of the most ancient sites in the world.”

GHN is comprised of a geospatial database using Google Earth, high-resolution satellite imagery and detailed mapping of the most significant archaeological and cultural heritage sites in the world’s poorest countries, while the GHN Community is a growing social network of professionals that enables discussion and contribution of up-to-date documentation of threats and conservation efforts at global heritage sites.

“GHN enables our conservation team to work together with international experts and local community leaders to conserve sites like Banteay Chhmar, Cambodia’s leading nomination for UNESCO World Heritage designation,” said John Sanday OBE FSA, Director of the Banteay Chhmar project. “Our Khmer conservation team can now work closely with international experts around the world to monitor threats and propose innovative solutions to save one of Southeast Asia’s most significant heritage sites.”

Threats reported from the field by professional site monitors, international experts, local communities, volunteers and travelers. DigitalGlobe has donated multi-year satellite imagery for 600 sites at the highest resolution available and Esri has donated advanced mapping software for GHN site conservation teams valued at nearly $1 million.

“At Esri, we believe that technology can empower every person to make a difference in the world, and geographic information systems like Global Heritage Network gives them the needed information to accomplish large-scale conservation and development,” said Jack Dangermond, Founder, President and CEO of Environmental Systems Research Institute (Esri). “We are proud to support Global Heritage Fund and applaud their innovative approach to global heritage conservation. GHF’s new technology-based Global Heritage Network will enable it to scale and amplify the value of its own critical work to protect, preserve and sustain global heritage sites in developing countries.”

GHN uses Preservation by Design® methodology to protect, preserve and sustain each global heritage site through an integrated process of master planning, scientific conservation, community development and partnerships for co-funding and sustainability. Heritage conservation leaders need sustained assistance from outside experts to be successful in the preservation process, but often these heroes in conservation work in difficult, remote locations. GHN provides the first collaborative platform needed to enable the long-term preservation of endangered global heritage sites, which have the potential to generate over $100 billion in visitor revenues annually by 2025, in addition to millions of dollars in new jobs, business and investment opportunities.

“Preservation of key heritage sites is critical for our learning as a society, and we at ITT Visual Information Solutions are pleased to support Global Heritage Fund’s efforts to create a global conservation mindset for historic sites,” said Richard Cooke, President of ITT Visual Information Solutions. “Image and data analysis technologies play a vital role in GHF’s philosophy to improve the long term success of conservation efforts around the world by applying the latest technologies to improve planning methods and encourage community involvement. We salute and support GHF in its mission.”

[Source: Global Heritage Fund press release]