Archive for the 'GIS' Category

Geospatial Analysis – A comprehensive guide – A free web-based GIS resource

geospatial-analysis

A free web-based GIS resource – Dr Michael de Smith and Prof Paul Longley, University College London, and Prof Mike Goodchild, UC Santa Barbara

Geospatial Analysis book online – web version

Geospatial Analysis book online – PDF version  

The full text of “Geospatial Analysis – A comprehensive guide” is provided on this website. It covers the full spectrum of analytical techniques that are provided within modern Geographic Information Systems (GIS) and related software products.Click here for a PDF extract (first 60 pages, links not enabled).Topics covered in detail include:

  • Geospatial analysis concepts
  • Analytical methodologies and model building
  • Core components of geospatial analysis, including distance and directional analysis, geometrical processing, map algebra, and grid models
  • Exploratory Spatial and Spatio-temporal Data Analysis (ESDA, ESTDA) and spatial statistics, including spatial autocorrelation and spatial regression
  • Surface analysis, including surface form and flow analysis, gridding and interpolation methods, and visibility analysis
  • Network and locational analysis, including shortest path calculation, travelling salesman problems, facility location and arc routing
  • Geocomputational methods, including agent-based modelling, artifical neural networks and evolutionary computing

“Written in an engaging and accessible manner, this book does a marvelous job of balancing its coverage on principles, techniques, and software tools for spatial analysis. … It is truly a tour de force of geospatial analysis and is likely to become a classic …I would highly recommend this book to anyone who is interested in learning about the latest developments in geospatial analysis and modeling.” Prof D Z Sui, Review in: Annals, Association of American Geographers, April 2009.

 

Source: http://www.spatialanalysisonline.com

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5th Open Source Opportunities in GIS Summer School: Open Web Services & Web Map Applications, 7-11 July 2014, Girona, Spain

5th Open Source GIS Summer School

The GIS and Remote Sensing Centre of the University of Girona, the Nottingham Geospatial Institute of the University of Nottingham and Prodevelop (partner of OpenGeo) welcome you to the 5th Open Source GIS Summer School which will be focused on the development and creation of Open Web Mapping Services and Web Applications.

The Open Source Opportunities in GIS Summer School of Girona is an initiative aimed to meet the GIS professional demands related to free and open solutions.

GIS Open Source Summer School 2014 aims to build upon the success of the previous editions to ensure the highest quality of results and to prepare students in an international working environment and to develop competitive skills with emphasis on collaboration during the course. We started on this initiative focussing on the advantages of using Free and Open Source Software for GIS from the first edition of this Summer School.

If you are interested in application development and creation of web map services using the most widely used free and open source market products such as PostGIS, GeoServer, OpenLayers, then this is your opportunity.

Applications to the Summer School must be submitted before 27th June.

 

Source: http://www.sigte.udg.edu/summerschool2014

Big Processing of Geospatial Data

Geospatial Data has always been Big Data. Now Big Data Analytics for geospatial data is available to allow users to analyze massive volumes of geospatial data. Petabyte archives for remotely sensed geodata were being planned in the 1980s, and growth has met expectations. Add to this the ever increasing volume and reliability of real time sensor observations, the need for high performance, big data analytics for modeling and simulation of geospatially enabled content is greater than ever. In the past, limited access to the processing power that makes high volume or high velocity collection of geospatial data useful for many applications has been a bottleneck.  Workstations capable of fast geometric processing of vector geodata brought a revolution in GIS. Now big processing through cloud computing and analytics can make greater sense of data and deliver the promised value of imagery and all other types of geospatial information.

Cloud initiatives have accelerated lightweight client access to powerful processing services hosted at remote locations.   The recent ESA/ESRIN “Big Data from Space” event addressed challenges posed by policies for dissemination, data search, sharing, transfer, mining, analysis, fusion and visualization. A wide range of topics, scenarios and technical resources were discussed. In addition to the projects discussed at that event, several other big data initiatives have been launched to increase capabilities to processing geospatial data: the European Commission’s Big Data Public Private Forum, the US National Science Foundation’s Big Data Science & Engineering, and the US Office of Science and Technology Policy’s (OSTP) Big Earth Data Initiative (BEDI).

Read more at http://www.opengeospatial.org/blog/1866

 

Source: http://www.opengeospatial.org/blog/1866

 

Geoinformation industry generates 200 bln yuan

The output value of China’s geographic information industry is expected to reach 200 billion yuan (31.8 billion U.S. dollars) by the end of this year.

According to a statement issued by the National Administration of Surveying, Mapping and Geoinformation on Thursday, the output may exceed 400 billion yuan by the end of 2015.

Moreover, domestic geographic information software take up 70 percent of the country’s relevant market share, and the market share of indigenous digital photogrammetry software in China has reached 90 percent, the statement said.

An advanced system of geographic information-related technologies and equipment is taking shape in China, combining space, air and on-the-ground technologies and equipment, including the Ziyuan III satellite, the BeiDou Navigation Satellite System and a national emergency geoinformation monitoring system, the statement said.

China on Thursday opened its first national technology industrial park for geographic information industries in the Beijing suburb of Shunyi.

Source:

http://www.china.org.cn/business/2012-12/20/content_27477797.htm

Eighth International Conference on”Geographical Analysis, Urban Modeling, Spatial Statistics” GEOG-AND-MOD 13

in conjunction with The 2013 International Conference on Computational Science and its Applications (ICCSA 2013)
June 24th – June 27th, 2013

International University, Ho Chi Minh City, Vietnam
http://www.iccsa.org

Description
During the past decades the main problem in geographical analysis was the lack of spatial data availability. Nowadays the wide diffusion of electronic devices containing geo-referenced information generates a great production of spatial data. Volunteered geographic information activities (e.g. OpenStreetMap, Wikimapia), public initiatives (e.g. Open data, Spatial Data Infrastructures, Geo-portals) and private projects (e.g. Google Earth, Bing Maps, etc.) produced an overabundance of spatial data, which, in many cases, does not help the efficiency of decision processes.
The increase of geographical data availability has not been fully coupled by an increase of knowledge to support spatial decisions.
The inclusion of spatial simulation techniques in recent GIS software favoured the diffusion of these methods, but in several cases led to the mechanism based on which buttons have to pressed without having geography or processes in mind.
Spatial modelling, analytic techniques and geographical analyses are therefore required in order to analyse data and to facilitate the decision process at all levels, with a clear identification of the geographical information needed and reference scale to adopt.

Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging the researchers for new solutions.
This Conference aims at providing innovative and original contribution to the ongoing debate on the above mentioned issues and at improving the process of knowledge acquisition, by means of the development of new techniques and methods.

Conference Themes                                                                                                                                                                                      Geostatistics and spatial simulation;
Agent-based spatial modelling;
Cellular automata spatial modelling;
Spatial statistical models;
Space-temporal modelling;
Environmental Modelling;
Geovisual analytics, geovisualisation, visual exploratory data analysis;
Visualisation and modelling of track data;
Spatial Optimization;
Interaction Simulation Models;
Data mining, spatial data mining;
Spatial Data Warehouse and Spatial OLAP;
Integration of Spatial OLAP and Spatial data mining;
Spatial Decision Support Systems;
Spatial Multicriteria Decision Analysis;
Spatial Rough Set;
Spatial extension of Fuzzy Set theory;
Ontologies for Spatial Analysis;
Urban modeling;
Applied geography;
Spatial data analysis;
Dynamic modelling;
Simulation, space-time dynamics, visualization and virtual reality.

Submission
Papers should be submitted at: http://ess.iccsa.org

Please don’t forget to select “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” workshop from the drop-down list of all workshops.

Proceedings
Accepted papers to “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” will be published in the ICCSA Conference proceedings, in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, with doi, indexed by Scopus and DBLP.

Participants to “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” will be invited to submit an extended version of their paper for special issues on International Journals and book.

Important dates
31 January 2013: Deadline for full paper submission
10 March 2013: Notification of acceptance
6 April 2013: Deadline for Camera Ready Papers
June 24-27, 2013: ICCSA 2013 Conference

Source: http://www.unibas.it/utenti/murgante/geog_an_mod_13/index.html

11th International Conference on Spatial Information Theory, COSIT 2013 September 2-6, 2013, Scarborough, UK

Spatial information theory is concerned with all aspects of space and spatial environments as experienced and represented by humans and also by other animals and artificial agents. The scope of the conference includes both applications to specific domains and also the development of general theories of space and spatial information. Papers may address aspects of spatial information from the viewpoint of any discipline including (but not limited to) the following.

  • Cognitive, Perceptual, and Environmental Psychology
  • Geography and Geoinformation Science
  • Computer Science, Artificial Intelligence, and Cognitive Science
  • Mathematics, Logic, Philosophy and Ontology
  • Engineering and Human Factors
  • Cognitive Anthropology, Psycholinguistics and Linguistics
  • Architecture, Planning, and Environmental Design

Papers will be selected through a rigorous review of full papers based on relevance to the conference, scientific significance, novelty, relation to previously published literature, clarity of presentation, and interdisciplinary context. The proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) series. Papers should not exceed 20 pages in the LNCS format.

Since 1993 the COSIT series has been one of the most important events in this highly interdisciplinary area. An idea of the conference’s orientation can be gained from the previous COSIT proceedings published by Springer-Verlag in the LNCS series.

The following (non-exclusive) topics are indicative of the fields of interest:

  • activity-based models of spatial knowledge
  • cognitive structure of spatial knowledge
  • cognitive vision
  • cooperative work with spatial information
  • events and processes in geographic space and time
  • incomplete or imprecise spatial knowledge
  • knowledge representation for space and time
  • languages of spatial relations
  • naive geography/behavioral geography
  • navigation and wayfinding, including robot navigation
  • ontology of space
  • presentation and communication of spatial information
  • qualitative and commonsense spatial representation
  • quality issues in geographic information
  • semantics of geographic information
  • social and cultural organization of space
  • spatial and temporal language
  • spatial aspects of social networks
  • spatial data integration/interoperability
  • spatial decision-support systems
  • structure of geographic information
  • theory and practice of spatial and temporal reasoning
  • time in geographic information
  • user-interface design/spatialization of interfaces
  • virtual spaces

The conference will be held at the Royal Hotel, Scarborough, North Yorkshire, UK. The town of Scarborough is a characterful Victorian seaside resort on the East coast of England. There are good road and rail links to the rest of the UK including a direct train service from Manchester Airport which has flights from many international airports.

The conference will be preceded by a day of workshops and tutorials.
The doctoral colloquium, after the conference, provides a forum for PhD students working on any aspect of spatial information.
Separate calls for workshops and tutorials and for the doctoral colloquium will be issued.

Important dates
  March 4,  2013 – Full paper submission
April 20, 2013 – Notification of acceptance
June 17,  2013 – Camera-Ready copy due
September 2,  2013 – Workshops and Tutorials
September 3-5, 2013 – Conference
September 6,  2013 – Doctoral Colloquium

 

Source:

http://www.cosit2013.org

Research Assistant/Associate, GIS & Remote Sensing: Tropical Land Use/Land Cover Change

The Amazon Environmental Research Institute International Program (IPAM-IP) is a non-profit organization that conducts research, policy analysis, and capacity‐building in support of low-emission rural development and natural resource conservation in the developing world. With offices in San Francisco, IPAM-IP acts as the international arm of the Instituto de Pesquisa Ambiental da Amazônia (IPAM), a non-governmental organization headquartered in Brazil with a seventeen year history of ecological research and sustainable development initiatives in the Amazon. For more information on IPAM International Program, please visit: www.ipam.org.br/programas/item/IPAM-IP-International-Program/8

Summary: IPAM-IP seeks a research assistant/associate to assist with geospatial analysis and modeling, including processing remotely sensed imagery, for research projects focused on (1) mapping and monitoring of land-use in the tropics, incorporating spatial and other data, and (2) mapping, monitoring, and modeling for policy analysis in the tropics, from local to global scales. The position requires advanced experience obtaining and processing a broad range of geospatial data, using a variety of software and geospatial tools and approaches, and the ability to manipulate large datasets and manage databases. The successful candidate will be highly motivated, show initiative, have the ability to work both independently and as part of a team, and possess the ability to continuously learn new technical skills as needed.

Responsibilities: The successful candidate will:

  • Support the “Agricultural Commodity Roundtables and REDD+” program and related projects;
  • Organize and manage extensive spatial databases, and support and lead efforts to map land use and land use change;
  • Prepare data for and carry out a variety of spatial analyses in collaboration with staff scientists;
  • Acquire and process geospatial datasets from multiple sources, including pre-processing and and analyzing satellite imagery (from multiple sources, but especially Landsat and MODIS sensors);
  • Manage and administer licenses and license and data server;
  • Assist in developing and writing proposals, manuscripts, presentations, etc.

Qualifications and Experience:

  • B.A./B.S. or M.S. in Geographical Information Systems (GIS), or alternative qualifications in applied GIS with a degree in environmental studies, or other relevant subject;
  • Experience in processing multi-sensor imagery for mapping applications;
  • Experience with standard GIS and digital image processing software packages (e.g., ArcGIS, Erdas, Imagine, Idrisi, ENVI/IDL, ECognition and/or open source alternatives);
  • Experience in developing geospatial models (including dynamic modeling);
  • Experience with geospatial script writing (e.g., Python, R, C/C++, Java, etc.);
  • Experience in performing GIS tasks in a multiple operating systems (Windows/Linux/Mac);
  • Programming experience to automate tasks highly desirable;
  • Work well in a collaborative setting and have excellent written and oral communication skills;
  • Excellent written and spoken English a must;
  • Written and spoken language skills in Portuguese, Spanish, French, and/or Indonesian a plus;
  • IT skills/experience a plus;
  • Experience working in an international environment a plus;

Application deadline: October 15, 2012

Desired start date: ASAP

Compensation, Appointment, Location: This is a full-time appointment. The assistant will be based in San Francisco with some travel, as necessary. Compensation commensurate with experience.

Application Instructions: Please send cover letter referencing Job# 3302FHCS, curriculum vitae, and contact information for 3 references to ip-jobs@ipam.org.br. Please reference Job# 3302FHCS,in the subject line of the email.

Source: http://www.ipam.org.br/trabalhe/Research-Assistant-Associate-GIS-Remote-Sensing-Tropical-Land-Use-Land-Cover-Change/62?goback=.gna_4538605.gde_4538605_member_171441825


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