The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. http://elogeo.nottingham.ac.uk:80/xmlui 2013-05-23T15:42:05Z 2013-05-23T15:42:05Z QGIS Project http://elogeo.nottingham.ac.uk/xmlui/handle/url/155 2013-02-21T14:41:17Z 2013-02-21T14:23:25Z

Quantum GIS 1.8.0 (Lisboa) QGIS Project Quantum GIS (QGIS) is a user friendly Open Source Geographic Information System (GIS) licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities.

2013-02-21T14:23:25Z Mather, Richard http://elogeo.nottingham.ac.uk/xmlui/handle/url/150 2012-11-30T02:00:04Z 2012-11-29T10:35:30Z

Design Extensibility and Potential for further developing an Engine and XML Structure for executing and reporting Geo-referenced Image Workflows. Mather, Richard A workflow engine and XML data-structure is reported for: (a) automating workflows to process remotely-sensed data; and (b) generating workflow reports with embedded image, statistical and other output. Workflow execution, persistence and reporting are based on a single XML structure. Layered object-oriented architecture and design patterns are used so that application may be easily adapted to other forms of workflow, data and deployment. Benefits include customizable design, improved workflow repeatability and reduced project costs. Current uses and potential for further development are considered.

2012-11-29T10:35:30Z Acosta y Lara, Sergio Anguix, Alvaro http://elogeo.nottingham.ac.uk/xmlui/handle/url/149 2012-11-07T02:00:05Z 2012-11-06T11:16:21Z

gvSIG Batoví: an educational resource for Plan Ceibal Acosta y Lara, Sergio; Anguix, Alvaro This is an overview presentation of the gvSIG Batoví project presented by Sergio Acosta y Lara (MTOP, Uruguay) and Alvaro Anguix (gvSIG Association) . The aim of gvSIG Batoví is to develop a powerful educational tool that enables primary and secondary education students to understand space, to easily interpret maps and to learn free technologies as part of the wider CEIBAL Initiative. The presentation was translated by Robin Lovelace (University of Sheffield) and Dr. Juan C. Suárez (Centre for Forest Resources and Management Forest Research)

2012-11-06T11:16:21Z Vu, Tuong Thuy http://elogeo.nottingham.ac.uk/xmlui/handle/url/147 2012-11-02T02:00:06Z 2012-11-01T13:29:34Z

Development of Open Source Geospatial Research & Education at UNMC Vu, Tuong Thuy The School of Geography started its operation in Malaysia campus in early 2011 with a newly established MSc program in Environmental Monitoring and Management. None of teaching and research related to Geospatial Science existed in Malaysia campus till the School of Geography brought in the first group of Geospatial Scientists. This presentation introduces the development of Geospatial Research & Education at UNMC in the last short one and half years, focusing in the Open Source Geospatial initiative by Dr. Vu in collaboration with colleagues at Nottingham Geospatial Institute.

2012-11-01T13:29:34Z Alexandris, Nikos Pyttel, Patrick http://elogeo.nottingham.ac.uk/xmlui/handle/url/146 2012-10-31T02:00:07Z 2012-10-30T13:40:39Z

Mapping Disturbed Areas in Aged Coppice on Steep Slopes along Rhine & Moselle (Rheinland-Pfalz), A Visual Interpretation Approach based on True Colour Orthophotos Alexandris, Nikos; Pyttel, Patrick This technical report describes step by step the methodology followed in order to map forest gaps out of orthophotos (0.8 m pixel resolution) and forest inventory vector maps provided by the Landesforsten Rheinland-Pfalz. In order to achieve the highest possible accuracy, visual interpretation of each orthophoto tile was performed separately as well as a cross-check between the involved interpreters. This document is a partial publishment of an internal technical report. Final forest gap estimations for the study areas have been omitted.

2012-10-30T13:40:39Z Pourabdollah, Amir Anand, Suchith Morley, Jeremy Jackson, Mike http://elogeo.nottingham.ac.uk/xmlui/handle/url/145 2012-10-23T01:00:04Z 2012-10-22T11:59:15Z

GI-BoK - Open Source GIS Education perspective Pourabdollah, Amir; Anand, Suchith; Morley, Jeremy; Jackson, Mike Today many aspects of geospatial science including information, standards and tools are created and developed as "open". The effects of this openness are not only providing the free access but also spreading knowledge and responsibility to the whole community. The objective of the ELOGeo project has been to enable the wider community of GIS and non-GIS users to learn and make use of open source geospatial tools

2012-10-22T11:59:15Z Leibovici, Didier G. Swan, Jerry Jackson, Mike http://elogeo.nottingham.ac.uk/xmlui/handle/url/144 2012-10-20T01:00:08Z 2012-10-19T13:24:55Z

Coupling Outbreak Detection of Spatially Clustered Associations and Data Reduction Leibovici, Didier G.; Swan, Jerry; Jackson, Mike A dream goal of spatio-temporal event data analysis is to provide evidence and description of spatially and temporally clustered associations of attributes coming from a potentially large amount variables that the thematic specialist in environmental sciences, including social science, is often looking at for monitoring purposes. The motivation is in explaining these clusters by the variables used and from cofactors or covariates measurements, which can be used to manage or mitigate their occurrences. Disease outbreaks and associated factors, biodiversity losses and ecological conditions, crime spots and social descriptions are few examples. Recently Leibovici et al. (2011b) proposed an exploratory approach to discover and locate spatially clustered associations (ScankOO analysis). An extension of this methodology for outbreak detections of multivariate multinomial events has been also proposed. If this method provides a spatio-temporal detection, the “mining” is limited to the chosen spatio-temporal paradigm. No help to select or describe the best variables and attributes responsible of the clusters are devised, besides a priori and a posteriori analyses. Using the same approach with a focus on spatial entropy and conditional spatial entropy, Leibovici et al. (2011a) provided another method (SelSOOk) allowing variable selection but without localisation of the spatial associations. In this paper we investigated the combination of variable selection (variable mining) and/or data reduction with spatial clustering principles illustrated in the ScankOO method.

2012-10-19T13:24:55Z Leibovici, Didier G. Anand, Suchith Swan, Jerry Jackson, Mike http://elogeo.nottingham.ac.uk/xmlui/handle/url/143 2012-10-20T01:00:07Z 2012-10-19T13:07:43Z

A Spatial Structuration Heuristic for Integrated Automated Map Generalisation with Attribute and Geometry Leibovici, Didier G.; Anand, Suchith; Swan, Jerry; Jackson, Mike Map Generalization is the process by which coarse scale maps are to be derived from fine scale maps, balancing the amount of real-world in- formation with visual confusion. This requires the use of operations such as simplification, selection, displacement and amalgamation of features that are performed subsequent to scale change. Recently, focusing on the attribute values of the geometrical objects, some research has been on thematic maps, such as demographic maps, soil maps, land cover and land use maps. For these situations, algorithms need to consider ontology associated with the theme and/or statistical clustering methods as well as geometrical transformations. In Leibovici et al. (2008c) it was con- sidered two possible approaches: performing sequentially geometrical and attribute generalisation algorithms, or integrating the two types of trans- formations in a combined optimisation approach. This paper explains a bit more this last approach, focusing on the spatial structuration goal and emphasing on potential extensions. The implementation of a generic framework allows a direct comparison of the sequential approaches with the combined one, but also opens the possibility of testing families of operators in competition with more traditional ones.

2012-10-19T13:07:43Z Leibovici, Didier G. Anand, Suchith Swan, Jerry Jackson, Mike http://elogeo.nottingham.ac.uk/xmlui/handle/url/142 2012-10-20T01:00:10Z 2012-10-19T12:24:58Z

Combining Attribute with Geometry for Automated Generalization and Schematisation Leibovici, Didier G.; Anand, Suchith; Swan, Jerry; Jackson, Mike Map Generalization is the process by which coarse scale maps are to be derived from fine scale maps, balancing the amount of real-world in- formation with visual confusion. This requires the use of operations such as simplification, selection, displacement and amalgamation of features that are performed subsequent to scale change. Recently, focusing on the attribute values of the geometrical objects, some research has been on thematic maps, such as demographic maps, soil maps, land cover and land use maps. For these situations, algorithms need to consider ontology associated with the theme and/or statistical clustering methods. What is happening to the attributes when performing a geometrical generalization or schematization of a map with polygons in which some attributes de- scribe their semantics? Conversely what is happening to the geometries when, some kind of generalization based on attribute values and their spatial distribution, is performed? For instance, these questions concern sequential approaches, implying that one generalization either geometrical or attribute based, will force another generalization on the other charac- teristic. Investigating how to use the two main generalization steps in a more integrated approach will be the ultimate goal of this paper, with a particular interest on land cover or census datasets.

2012-10-19T12:24:58Z Leibovici, Didier G. Bastin, Lucy Anand, Suchith Swan, Jerry Hobona, Gobe Jackson, Mike http://elogeo.nottingham.ac.uk/xmlui/handle/url/141 2012-10-20T01:00:09Z 2012-10-19T12:24:50Z

Spatially Clustered Associations in Health GIS Leibovici, Didier G.; Bastin, Lucy; Anand, Suchith; Swan, Jerry; Hobona, Gobe; Jackson, Mike Overlaying maps using a desktop GIS is often the first step of a multivariate spatial analysis. The potential of this operation has increased considerably as data sources and Web services to manipulate them are becoming widely available. via the internet. Standards from the OGC enable such geospatial “mashups” to be seamless and user driven, involving discovery of thematic data, and overlay of these data for a chosen spatial domain. The user is naturally inclined to look for spatial clusters and “correlation” of outcomes. Using classical cluster detection scan methods to identify multivariate associations can be problematic in this context, because of a lack of control on or knowledge about background populations. For public health and epidemiological mapping, this limiting factor can be critical but often the focus is on spatial identification of risk factors associated with health or clinical status. In this paper we point out that this association itself can ensure some control on underlying populations, and develop an exploratory scan statistic framework for multivariate associations. Inference using statistical map methodologies can be used to test the clustered associations. The approach is illustrated with a toy data example and an epidemiological study on community MRSA.

2012-10-19T12:24:50Z