Esri Press Releases “Spatial Statistical Data Analysis for GIS Users”

The long-anticipated Spatial Statistical Data Analysis for GIS Users is now available from Esri Press.

The book presents a practical introduction and guide to spatial statistics for researchers, statisticians, academics, and college students who want to expand their knowledge and skills in geographic information system (GIS) technology to new areas of analysis. More than 1,000 full-color illustrations are included, along with lessons and sample data to help organize courses and lectures.

“This book provides a fundamental guide to understanding and applying the three tasks of geostatistical modeling,” said author Konstantin Krivoruchko, whose career has focused on developing statistical software and teaching spatial statistics. “Those tasks include finding out how much data variation exists, making sure that the model describes the data as closely as possible and is not adding too much additional error, and knowing how much error is too much.”

Published in DVD-ROM format, the book provides a comprehensive overview of spatial statistical and geostatistical data analysis that

● Explains basic concepts of statistical models that are common in current research

● Cites difficulties in applying these models to the data

● Sketches solutions to typical problems

● Offers examples of data analysis and computer codes

● Provides exercises for practicing spatial data analysis

            Spatial Statistical Data Analysis for GIS Users (ISBN: 978-1-58948-161-9, 894 pages, $39.99) is available at online retailers worldwide, at esri.com/esripress, or by calling 1-800-447-9778. Outside the United States, visit esri.com/esripressorders for complete ordering options, or visit esri.com/distributors to contact your local Esri distributor. Interested retailers can contact Esri Press book distributor Ingram Publisher Services.

[Source: Esri press release]

United States Thoroughfare, Landmark, and Postal Address Data Standard Endorsed by FGDC

On February 9, 2011, the Steering Committee of the Federal Geographic Data Committee (FGDC) endorsed the United States Thoroughfare, Landmark and Postal Address Data Standard.

The Standard is the culmination of efforts of the Address Standard Working Group, which was created in 2005 when the FGDC accepted a proposal submitted by the Urban and Regional Information Systems Association (URISA) to create a Street Address Standard.

The Standard contains four parts: address data content, classification, transfer, and quality.  The standard covers each of the main types of addresses found in the United States, and provides a framework for classifying them, understanding their component parts and attributes, testing their quality, and organizing them for exchange with other agencies and the public.

Street addresses are the location identifiers most widely-used by state and local government and the public. Street addresses are critical for administrative, emergency response, research, marketing, mapping, geospatial information systems, routing and navigation, and for law enforcement and first-responders in time of crises.  The adoption of the Standard will provide local, state, tribal, and federal agencies with a means to share address information, as well as a methodology for improving response to emergency and non-emergency service requirements, with associated improvements in efficiency, effectiveness and economy.

“The United States Thoroughfare, Landmark, and Postal Address Data Standard will have a significant impact at all levels of government and is an essential component of the National Spatial Data Infrastructure,” said Ivan DeLoatch, Executive Director of the FGDC. “We encourage government agencies, as well as others, to implement the standard for it provides a foundation for understanding and developing solutions for the many challenges in our communities.”

URISA’s Address Standards Working Group (ASWG), led by Carl Anderson, GISP; Hilary Perkins, GISP; Ed Wells, GISP; Martha McCart Wells, GISP; and Sara Yurman, GISP, along with dozens of additional volunteers, has worked tirelessly since 2005 on this effort, with the support of the United States Census Bureau.  The Census Bureau will be the maintenance authority for the Address Standard.

The ASWG used an innovative methodology in developing the standard, placing all draft materials and discussion in a public environment through the use of a wiki site, public circulation through URISA’s website of two drafts, and a broad inclusionary effort to help understand “on-the-ground” addressing issues across all 50 states, the District of Columbia and the United States Territories.  In addition, both the U.S. Postal Service and the National Emergency Number Association (NENA) were involved, resulting in two profiles of the Standard, outlining the equivalencies and  differences between the Address Standard and USPS Publication 28 (the standard for mailing pieces), and NENA’s Next Generation 9-1-1 Address Standard (in public review).

  • Two drafts were circulated through the URISA Web Site (over 400 comments received on these drafts)‏
  • Over 40 presentations discussing the Standard in progress (URISA, NSGIC, NENA, state, regional, and national conferences, GSDI and ISO internationally)‏
  • Two webinars presented through URISA
  • Use of Wiki Site to further refine the Standard (more than 500 people joined effort to view and comment)
  • Thousands of teleconferences, emails and conversations with practitioners
  • Two public comment periods required by the FGDC with 216 comments received.

The results of this consensus-driven process were submitted through the FGDC’s formal standards approval process.

The endorsed Standard is published in its entirety on the URISA website, www.urisa.org, and is available for use and implementation. It is also available on the FGDC website.

In order to facilitate use and adherence to the Standard, the ASWG has begun work on implementation guidelines.  Members of the ASWG have received a CAP Grant from FGDC for the prototyping of data quality and data exchange tools to assist local, state and federal agencies in implementation of the Standard.  A new URISA webinar is also planned for May 2011 on the Standard and addressing issues.

[Source: URISA press release]

Regional Carrying Capacity Evaluation and Prediction based on GIS in the Yangtze River Delta, China

International Journal of Geographical Information Science, Volume 25, Issue 2, 2011

Jian-Ping Chen; Min Zeng; Yi-Jun Duan

“A generalized conceptual framework for regional carrying capacity evaluation along with its implementation approaches is introduced in this article, demonstrated by the case study in the Yangtze River Delta region, China. Following the data preprocessing, assimilative capacity, supportive capacity, and loading, the three essential aspects of regional carrying capacity, have been evaluated by principal components analysis and/or ecological footprint method. In terms of the characteristics of the results, sustainability criteria are established and used to determine the developmental states from 1997 to 2005 in the study area. Future states from 2006 to 2015 are predicted by a modified cellular automata model, into which an artificial neural network is incorporated to fit the transition rule. As revealed from the results of evaluation and prediction, the overall developmental states are worsening. For the sake of the sustainable development in this region, more attention should be paid to these results.”

OGC Announces “SWE Common” Standards to Simplify Sensor Web Development

The Open Geospatial Consortium (OGC®) membership has voted to approve the OGC Sensor Web Enablement (SWE) Common Service Model Interface Standard Version 2.0 and the OGC SWE Common Data Model Encoding Standard Version 2.0 as official OGC standards.

The OGC SWE Common Service Model Interface Standard is applicable to all services that provide or require information from or about sensors. It is designed for use cases in which sensors need to be accessed and managed through service interfaces.

The OGC SWE Common Encoding Standard provides a standard model (and XML implementation of the model) for the representation, nature, structure and encoding of sensor related data. It is used for describing static data (files) as well as dynamically generated datasets (on-the-fly processing), real-time streaming data, and process and web service inputs and outputs.

Both of the SWE Common standards are designed to be used with other existing OGC® Sensor Web Enablement standards such as OGC Sensor Model Language (SensorML) Encoding Standard, Sensor Observation Service (SOS) Interface Standard and Sensor Planning Service (SPS) Interface Standard.

The OGC SWE Common Service Model 2.0 Interface Standard is available at http://www.opengeospatial.org/standards/swes and the OGC SWE Common Data Model Encoding Standard Version 2.0 is available at http://www.opengeospatial.org/standards/swecommon.

[Source: OGC press release]

Cultural Heritage: Aligning Archive Maps and Extracting Footprints for Analysis of Historic Urban Environments

Computers and Graphics, Volume 35 Issue 2, April 2011

S. D. Laycock, P. G. Brown, R. G. Laycock, and A. M. Day

“Archive cartography and archaeologist’s sketches are invaluable resources when analysing a historic town or city. A virtual reconstruction of a city provides the user with the ability to navigate and explore an environment which no longer exists to obtain better insight into its design and purpose. However, the process of reconstructing the city from maps depicting features such as building footprints and roads can be labour intensive. In this paper we present techniques to aid in the semi-automatic extraction of building footprints from digital images of archive maps and sketches. Archive maps often exhibit problems in the form of inaccuracies and inconsistencies in scale which can lead to incorrect reconstructions. By aligning archive maps to accurate modern vector data one may reduce these problems. Furthermore, the efficiency of the footprint extraction methods may be improved by aligning either modern vector data or previously extracted footprints, since common elements can be identified between maps of differing time periods and only the difference between the two needs to be extracted. An evaluation of two alignment approaches is presented: using a linear affine transformation and a set of piecewise linear affine transformations.”

Forest Mapping in Lithuania: The Role of Geograhic Information S’s (Science, Systems and Studies)

Vilnius Seminar on Cartosemiotics, Vilnius, Lithuania, 8–9 April 2011

G.MOZGERIS and M. PALICINAS

“There is quite common opinion in a GIS community that mapping is less important than the geographic analysis and that professional GIS users manipulate the numbers but not the nice pictures. Contrary, the cartographer who needs GIS as a tool for map production does not use it for sophisticated analysis and modelling. And this is quite obvious – the cartographer is not a forester, urban planner or biologist and he or she does not necessarily need GIS for sophisticated and rather specific analysis. The aim of this presentation is to discuss the role of GIS as a set of tools or solutions (i) within the frames of forest inventory and management planning, resulting in forest resource information and detailed management prescriptions for some period (Systems), (ii) some fundamental issues raised by the use of GIS and related technologies, such as spatial analysis, map projections, accuracy issues and scientific representation (Science). And, (iii) both systems and science are impossible without systematic study of the use of geographic information (Studies).”

Prototyping an Online Wetland Ecosystem Services Model using Open Model Sharing Standards

Environmental Modelling & Software, Volume 26 Issue 4, April 2011

Min Feng, Shuguang Liu, Ned H. Euliss, Jr., Claudia Young, and David M. Mushet

“Great interest currently exists for developing ecosystem models to forecast how ecosystem services may change under alternative land use and climate futures. Ecosystem services are diverse and include supporting services or functions (e.g., primary production, nutrient cycling), provisioning services (e.g., wildlife, groundwater), regulating services (e.g., water purification, floodwater retention), and even cultural services (e.g., ecotourism, cultural heritage). Hence, the knowledge base necessary to quantify ecosystem services is broad and derived from many diverse scientific disciplines. Building the required interdisciplinary models is especially challenging as modelers from different locations and times may develop the disciplinary models needed for ecosystem simulations, and these models must be identified and made accessible to the interdisciplinary simulation. Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity. Traditional standalone and closed network systems cannot fully support sharing and integrating interdisciplinary geospatial models from variant sources. To address this need, we developed an approach to openly share and access geospatial computational models using distributed Geographic Information System (GIS) techniques and open geospatial standards. We included a means to share computational models compliant with Open Geospatial Consortium (OGC) Web Processing Services (WPS) standard to ensure modelers have an efficient and simplified means to publish new models. To demonstrate our approach, we developed five disciplinary models that can be integrated and shared to simulate a few of the ecosystem services (e.g., water storage, waterfowl breeding) that are provided by wetlands in the Prairie Pothole Region (PPR) of North America.”