Spatial Roundtable Focuses on Sustaining Geographic Information with Fewer Resources
National mapping, charting, and data production organizations (NDPs) are turning to efficient solutions like geographic information systems (GIS) to continue providing authoritative data for citizens and organizations in a time of global economic cutbacks. The data is used for country-wide and transnational mapping activities that support economic activities, emergency response, security, and environmental monitoring. Faced with reduced resources and staff cuts, many NDPs are struggling to maintain the quality and accuracy of data necessary to support these activities. Mark Cygan, map, chart, and data production and spatial data infrastructure (SDI) industry manager for Esri, takes a closer look at this issue at the Spatial Roundtable blog.
“Doing more with less is a necessary way of doing business in today’s economic climate,” states Cygan. “Even though NDPs are seeing significant staff cuts and reduced budgets, they continue to demonstrate their strategic value in helping solve national issues and justifying funding.”
The value of authoritative data created by NDPs was officially recognized in 1992 at the Rio Earth Summit—officially called the United Nations Conference on Environment and Development—Rio de Janeiro, Brazil. Recently, organizations such as the Group on Earth Observations and the United Nations Economic and Social Council Statistics Division have also emphasized the importance of authoritative data in addressing global issues.
Cygan argues that supporting NDPs in their mission of providing data is critical and asks the community to come together and join the conversation about how NDPs can continue to be successful and thrive in the face of reduced resources at spatialroundtable.com.
[Source: Esri press release]
ISPRS Istanbul Workshop 2010 on Modeling of optical airborne and spaceborne Sensors, WG I/4, Oct. 11-13, IAPRS Vol. XXXVIII, part 1/W4
Alkan M., Oruç, M., Kayabaşı D., and Sefercik UG
“Nowadays, remotely sensed images are used for various purposes in different applications. One of them is the change detection using high resolution satellite imagery which is city areas. Urbanization rapid land use and land cover change has taken place in many cities of Turkey as well as in the world in the last 50 years. In this context, comparison of extraction results from these images and existing vector data is the most important issue. The goal here is to show the advantages and disadvantages of the two IKONOS images for creating road and building database and also updating to the database. In this study, high resolution IKONOS 2002 and IKONOS 2008 have been chosen for the test area of the Zonguldak city. Firstly, pan-sharpened IKONOS images have been produced by fusion of high resolution PAN and MS images using PCI Geomatica v9.1 software package. The parcel, building and road network objects from these datasets have been extracted automatically by initially dividing it into the segments and then, they have been classified by using the spectral, spatial and contextual information using eCognition v4.0.6 software package. On the other hand, these objects have been manually digitized from high resolution images using ArcGIS v9.3 software package. These vectors produced automatically and manually have been compared with the existing digital cadastral maps and reference vector maps of scale 1/5000 of test area. The success of object-oriented image analysis results was tested by GIS software; the results have been presented and commented. Therefore, making GIS-based analysis and comparisons with raster and vector data of the test area has crucial importance in terms of putting forth the recent situation.”
Applied Geography, In Press, Corrected Proof, Available online 2 October 2010
R. David Lamie, Wallace Campbell, William Molnar
“Fiscal impact assessments exist to provide decision makers with the tools to make informed decisions regarding local government finances. Every type of change in a community will have a unique impact on the local economy. This impact cannot be evaluated without careful attention to the particular geographic setting of the study. Unfortunately, geography is currently underutilized in the practice of fiscal impact analysis. This paper argues that the increased application of geographic tools is a key to improving the accuracy of fiscal impact reports.”
Proceedings of the National Academy of Sciences, Published online 24 November 2010
Jennifer C. Birch, Adrian C. Newton, Claudia Alvarez Aquino, Elena Cantarello, Cristian Echeverría, Thomas Kitzberger, Ignacio Schiappacasse, and Natalia Tejedor Garavito
“Although ecological restoration is widely used to combat environmental degradation, very few studies have evaluated the cost-effectiveness of this approach. We examine the potential impact of forest restoration on the value of multiple ecosystem services across four dryland areas in Latin America, by estimating the net value of ecosystem service benefits under different reforestation scenarios. The values of selected ecosystem services were mapped under each scenario, supported by the use of a spatially explicit model of forest dynamics. We explored the economic potential of a change in land use from livestock grazing to restored native forest using different discount rates and performed a cost–benefit analysis of three restoration scenarios. Results show that passive restoration is cost-effective for all study areas on the basis of the services analyzed, whereas the benefits from active restoration are generally outweighed by the relatively high costs involved. These findings were found to be relatively insensitive to discount rate but were sensitive to the market value of carbon. Substantial variation in values was recorded between study areas, demonstrating that ecosystem service values are strongly context specific. However, spatial analysis enabled localized areas of net benefits to be identified, indicating the value of this approach for identifying the relative costs and benefits of restoration interventions across a landscape. ”
The University of North Carolina, Charlotte (UNCC), is implementing an integrated facilities management system based on Esri’s ArcGIS Server and ARCHIBUS Web Central software. The system will store and display data based on the facilities’ geographic location. This will add location-based intelligence to the university’s structural asset database as well as speed work order processing, improve business insight, and extend the life cycle of asset information.
UNCC is working with PenBay Solutions LLC of Brunswick, Maine, an Esri partner, to establish an enterprise geographic information system (GIS). UNCC was initially interested in simply locating all buildings, equipment, and grounds to help with work order execution. The extensive capabilities of ArcGIS Server expanded the scope of the project.
“We are able to include 3D representation of the buildings on campus as well as visually query assets,” says Ray Dinello, director of Facilities Information Systems, UNCC. “Being able to link to the university’s building automation system is providing us with the ability to pull together an integrated perspective of our facilities.”
- Identifying employee locations at both the building and floor levels
- Visualizing work requests on a map according to total per building, dollar value, and work order system
- Accessing information about design services projects including project costs via maps
- Determining emergency phone locations and status of assets
Currently, UNCC is upgrading to ArcGIS 10, which will allow it to easily perform 3D campus-wide routing, including interiors of buildings.
For more information on Esri’s offerings for facilities managers, visit esri.com/fm.
[Source: Esri press release]
ArcGIS API for Microsoft Silverlight/WPF Tops Mapping/GIS Components Category
Esri received the top honor in the mapping/geographic information system (GIS) components category of Visual Studio Magazine’s Readers Choice Awards. Esri won the award for its ArcGIS API for Microsoft Silverlight/Windows Presentation Foundation (WPF).
The ArcGIS API is designed for developers who want to create Web-based mapping applications quickly and easily with minimal coding. Many governments and businesses use the API because it provides an intuitive framework for creating GIS Web applications, such as data portals and interactive map viewers, and combines multiple technologies into a single development platform.
“I’m pleased to see Visual Studio users finding so much use for the ArcGIS API for Microsoft Silverlight in their daily work,” says Jack Dangermond, Esri president. “GIS is the best tool for organizing geographic knowledge, and this API is a key component for sharing this knowledge and integrating it with everything we do.”
Visual Studio Magazine‘s Readers Choice Awards recognize the most influential and widely used third-party tools in the Visual Studio and Microsoft .NET Framework development space. This year’s contest spanned 29 categories, including new ones for components and in the areas of team development, life cycle management, and data handling.
For more information on ArcGIS API for Microsoft Silverlight, visit esri.com/silverlight.
[Source: Esri press release]
Journal of Fish Biology, published online 23 November 2010
E. S. Gigliotti, D. F. M. Gherardi, E. T. Paes, R. B. Souza, M. Katsuragawa
“This paper establishes the spawning habitat of the Brazilian sardine Sardinella brasiliensis and investigates the spatial variability of egg density and its relation with oceanographic conditions in the shelf of the south-east Brazil Bight (SBB). The spawning habitats of S. brasiliensis have been defined in terms of spatial models of egg density, temperature–salinity plots, quotient (Q) analysis and remote sensing data. Quotient curves (QC) were constructed using the geographic distribution of egg density, temperature and salinity from samples collected during nine survey cruises between 1976 and 1993. The interannual sea surface temperature (SST) variability was determined using principal component analysis on the SST anomalies (SSTA) estimated from remote sensing data over the period between 1985 and 2007. The spatial pattern of egg occurrences in the SBB indicated that the largest concentration occurred between Paranaguá and São Sebastião. Spawning habitat expanded and contracted during the years, fluctuating around Paranaguá. In January 1978 and January 1993, eggs were found nearly everywhere along the inner shelf of the SBB, while in January 1988 and 1991 spawning had contracted to their southernmost position. The SSTA maps for the spawning periods showed that in the case of habitat expansion (1993 only) anomalies over the SBB were zero or slightly negative, whereas for the contraction period anomalies were all positive. Sardinella brasiliensis is capable of exploring suitable spawning sites provided by the entrainment of the colder and less-saline South Atlantic Central Water onto the shelf by means of both coastal wind-driven (to the north-east of the SBB) and meander-induced (to the south-west of the SBB) upwelling.”
International Journal of Digital Earth, Volume 3, Issue 4 December 2010 , pages 355 – 364
Huadong Guo; Liangyun Liu; Liping Lei; Yanhong Wu; Liwei Li; Bing Zhang; Zhengli Zuo; Zhen Li
“Earth observation is an effective technique that plays an important role in earthquake damage reduction and reconstruction. This paper introduces the results of dynamic analysis on monitoring and assessing heavily impacted areas affected by the Wenchuan Earthquake using remote sensing data acquired in the past 3 years from 2008 to 2010. Immediately after the disaster on 12 May 2008, the Chinese Academy of Sciences launched a project entitled ‘Wenchuan Earthquake Disasters Monitoring and Assessment Using Remote Sensing Technology.’ More than 400 images from 17 satellites and 20.2TB airborne remote sensing data were acquired to facilitate quick monitoring and evaluation of severely damaged areas in 14 counties. Results of the image analyses were forwarded on a timely basis to assist with consultative service and decision-making support. In subsequent years, in order to monitor the process of environmental restoration and reconstruction, airborne optical remote sensing images covering most of the severely damaged areas were again acquired in May 2009 and April 2010. These images were analyzed and compared along with images from 2008. Results were useful in support of further work on environmental protection and reconstruction in earthquake-damaged areas. Three typical areas were selected for illustrative purposes including Tangjiashan Barrier Lake, Beichuan County, and counties of Yingxiu and the new Beichuan. These results well demonstrate the importance and effectiveness of the utility of earth observation for disaster mitigation and reconstruction.”
Urban Studies, June 2010; vol. 47, 7: pp. 1391-1413., first published on January 12, 2010
Claudio O. Delang and Ho Cheuk Lung
“The undesirable effect of public housing on poverty concentration has been recognised by a series of studies that use census-tract-level aggregate data. This paper examines whether the poverty concentration mechanism of public housing that has been observed elsewhere also functions in Hong Kong. Hong Kong has one of the largest supplies of public housing in the world and also a distinct urban environment. After assessing the poverty rates in Hong Kong in 1991 and 2001, we build a series of regression models to examine the impact of public rental housing on poverty concentration during the 1990s. Using aggregated census tract-level data, the analysis concludes that public housing does not necessarily concentrate poverty in particular census tracts. Public policy and city planning by the Hong Kong government are found to be effective in avoiding or reducing the possible adverse effect of public housing by maintaining social heterogeneity and spatial homogeneity.”
Revista da Sociedade Brasileira de Medicina Tropical, 2010 Oct;43(5):536-541.
Vendramini SH, Santos NS, Santos MD, Chiaravalloti-Neto F, Ponce MA, Gazetta CE, Villa TC, Ruffino Netto A.
“INTRODUCTION: Spatial analysis of the distribution of tuberculosis/HIV coinfection was performed and associated with socioeconomic indicators in São José do Rio Preto, from 1998 to 2006.
“METHODS: New TB/HIV coinfection cases were georeferenced and incidence coefficients were calculated for spatial units. Moran’s index was used to evaluate spatial associations of incidences. Multiple regressions selected variables that could best explain the spatial association of incidences. The local indicator of spatial association was used to identify significant spatial groupings.
“RESULTS: Moran’s index was 0.0635 (p=0.0000) indicating that the incidence association occurred. The variable that best explained the spatial association of incidence was the percentage of heads of families with up to three years of education. The LISA cluster map for TB/HIV coinfection incidence coefficients showed groups with high incidence rates in the North and low incidence in the South and West regions of the municipality.
“CONCLUSIONS: The study elucidated the spatial geographic distribution of TB/HIV coinfection and determined its association with socioeconomic variables, thus providing data for oriented planning, prioritizing socially disadvantaged regions that present a higher incidence of the disease.”