Author: Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 180
Book Description
Standard Operating Procedures for Spatial Data Processing
Author: Standard Operating Procedures for Spatial Data Processing
Author: Collaborative Spatial Assesment CoSA
Author: European commission. Joint research centre. Institute for the Protection and Security of the Citizen (Ispra, Italie).Publisher:
ISBN: 9789279189708
Category :
Languages : en
Pages : 36
Book Description
The purpose of this Standard Operating Procedure (SOP) is to establish uniform procedures pertaining to the preparation for, the performance of, and the reporting of COllaborative (geo) Spatial Assessment (CoSA).CoSA provides a synoptic, unbiased assessment over the impact area of a disaster, which feeds the two main recovery perspectives of the Post-Disaster Needs Assessment (PDNA): i) the valuation of damages and losses carried out through the Damage and Loss Assessment (DaLA) methodology; and ii) the identification of human impacts and recovery needs carried out though the Human Recovery Needs Assessment (HRNA). CoSA is distinct from other geospatial and remote sensing based assessments because it i) draws on the collaborative efforts of distributed capacities in remote sensing and geospatial analysis, ii) aims to achieve the highest possible accuracy in line with the requirements of the PDNA and iii) tries to do so under stringent timing constraints set by the PDNA schedule. The current SOP will aid in ensuring credibility, consistency, transparency, accuracy and completeness of the CoSA. It is a living document, however, that will be enriched with new practical experiences and regularly updated to incorporate state-of-the-art procedures and new technical developments.
Computer Software for Spatial Data Handling: Full geographic information systems
Author: Geographic Information Systems (GIS) for Disaster Management
Author: Brian TomaszewskiPublisher: CRC Press
ISBN: 1351034847
Category : Social Science
Languages : en
Pages : 390
Book Description
Now in its second edition, Geographic Information Systems (GIS) for Disaster Management has been completely updated to take account of new developments in the field. Using a hands-on approach grounded in relevant GIS and disaster management theory and practice, this textbook continues the tradition of the benchmark first edition, providing coverage of GIS fundamentals applied to disaster management. Real-life case studies demonstrate GIS concepts and their applicability to the full disaster management cycle. The learning-by-example approach helps readers see how GIS for disaster management operates at local, state, national, and international scales through government, the private sector, non‐governmental organizations, and volunteer groups. New in the second edition: a chapter on allied technologies that includes remote sensing, Global Positioning Systems (GPS), indoor navigation, and Unmanned Aerial Systems (UAS); thirteen new technical exercises that supplement theoretical and practical chapter discussions and fully reinforce concepts learned; enhanced boxed text and other pedagogical features to give readers even more practical advice; examination of new forms of world‐wide disaster faced by society; discussion of new commercial and open-source GIS technology and techniques such as machine learning and the Internet of Things; new interviews with subject-matter and industry experts on GIS for disaster management in the US and abroad; new career advice on getting a first job in the industry. Learned yet accessible, Geographic Information Systems (GIS) for Disaster Management continues to be a valuable teaching tool for undergraduate and graduate instructors in the disaster management and GIS fields, as well as disaster management and humanitarian professionals. Please visit http://gisfordisastermanagement.com to view supplemental material such as slides and hands-on exercise video walkthroughs. This companion website offers valuable hands-on experience applying concepts to practice.
Geographic Information Systems (GIS) and Mapping
Author: Arnold Ivan JohnsonPublisher: ASTM International
ISBN: 0803114710
Category : Electronic data processing
Languages : en
Pages : 344
Book Description
GIS and Spatial Analysis
Author: Jorge RochaPublisher: BoD – Books on Demand
ISBN: 1803565969
Category : Science
Languages : en
Pages : 234
Book Description
The objective of spatial analysis techniques is to describe the patterns existing in spatial data and to establish, preferably quantitatively, the relationships between different geographic variables. The notion of spatial analysis in a Geographic Information Systems (GIS) environment encompasses the idea of integrating spatial data and alphanumeric attributes and translating it into a series of functions related to selection and data search, on the one hand, and with modeling, on the other. There have been substantial advances in spatial analysis techniques in GIS, mainly in the form of more faithfully apprehending the relationships inherent to the geographic phenomenon, something that was proven impossible to do with non-spatial techniques. Nowadays, spatial analysis involves a set of techniques used to analyze and model variables with distribution in space and/or time. The new era of spatial analysis must also consider the possibilities of integrating artificial intelligence in simulation (geosimulation) processes in computerized environments (geocomputation) in close relationship with models developed in real situations. GIS have emerged as useful tools in geographic modeling processes, helping to answer questions about the time variability of the landscape structure, study the behavior of fire, predict areas of urban expansion, analyze propagation phenomena, model animal movement and behavior, and determine periods and areas of high risk of flooding, among other phenomena. GIS and Spatial Analysis is a critical book that provides different methodologies that combine the potential data (including Big Data) analysis with GIS applications. It gives readers a comprehensive overview of the current state-of-the-art methods of spatial analysis, focusing both on the new philosophical and theoretical foundations for spatial analysis and on a flexible framework for analysis in the real world, for problems such as complexity and uncertainty.
Historic Preservation Response Methodology Based on the Hurricane Katrina Model
Author: Publisher:
ISBN:
Category : Cultural property
Languages : en
Pages : 268
Book Description
"At the request of FEMA, the National Park Service Cultural Resources GIS Facility created a strategy to help FEMA meet its NHPA (National Historic Preservation Act) obligations focusing on New Orleans, LA. Combining GPS and GIS tools, CRGIS constructed a methodology to identify and evaluate all potentially affected properties. Additionally it provided a means for historic preservationists to determine the historic significance of individual resources through GIS. CRGIS incorporated its draft Federal agency-wide cultural resource spatial data standards, allowing the GIS to serve additionally as a management tool, sharing data among all ... involved in the recovery"--Page v.
Spatial Data Mining
Author: Deren LiPublisher: Springer
ISBN: 3662485389
Category : Computers
Languages : en
Pages : 329
Book Description
· This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.
AR 115-13 03/13/2013 INSTALLATION GEOSPATIAL INFORMATION AND SERVICES , Survival Ebooks
Author: Us Department Of DefensePublisher: Delene Kvasnicka www.survivalebooks.com
ISBN:
Category : Reference
Languages : en
Pages : 35
Book Description
AR 115-13 03/13/2013 INSTALLATION GEOSPATIAL INFORMATION AND SERVICES , Survival Ebooks