216 research outputs found
GVI: Greenness Visibility Index R package
No full textThe GVI R package provides tools for computing a Greenness Visibility Index (GVI) surface from a DSM, DTM and Greenness Surface.
We have provided data for testing the GVI R package here
Micro-credentials and Research Skills Development
No full textThe New Zealand Qualifications Authority (NZQA) has recently formalised a new microcredential policy and piloted a series of small skills based courses that align to the NZQA
credit framework.While this is not yet gaining traction in Universities, Tertiary Education Organisations (TEO’s)
with a strong skills based focus are finding new ways of rewarding, and recognising, learning
through this new policy and framework. The policies focus is not only on TEO’s. NZQA have formalised a process for non-TEO’s
(professional groups, accreditation boards, communities) to benchmark their skills based
learning programmes for micro-credential equivalency - https://www.nzqa.govt.nz/providers-partners/approval-accreditation-andregistration/micro-credentials/equivalency/ This birds of a feather session opens up the discussion, and possibilities, of nationally
recognised credentials and development pathways for RSE’s and research support staff with
a particular focus on skills based and professional practice assessment. Is this something our
communities want, lets discuss! ABOUT THE AUTHOR(S) Jonny Flutey - https://orcid.org/0000-0002-2210-755X</div
Surveys of flying bird nesting areas and adelie penguin colonies in the Windmill Islands 1998/99 by Jonny Stark and Jeroen Creuwels
No full textProgress Code: completedStatement: The locations of some colonies on Nelly Island (Frazier Islands), a South Polar Skua nest site on Dewart Island (Frazier Islands) and some South Polar Skua nest sites on Ardery Island were eyed in using as a guide field survey sketches by Jeroen Creuwels in June 1999. The locations of some further colonies on the Frazier Islands, a Southern Giant-petrel nest site on Dewart Island (Frazier Islands) and some Snow Petrel nest sites at Casey Station were sourced from a differentially corrected GPS survey by Jonny Stark of the Australian Antarctic Division in 1998/99. The following data relevant to Jeroen Creuwels' 1998/99 work on Ardery Island were sourced from another differentially corrected GPS survey by Jonny Stark in 1998/99: Antarctic Petrel reference area, Southern Fulmar reference area, Cape Petrel study area, Cape Petrel reference area and the location of the observation point for the 1998/99 bird census.
Each feature has a Qinfo value which can be used to access data quality information (see provided URL).This GIS dataset contains bird data from 1998/99 field work in the Windmill Islands by Jonny Stark and Jeroen Creuwels. The locations are Frazier Islands, Ardery Island and Casey station. <br/>Polygon data represents the extents of flying bird nesting areas and adelie penguin colonies.<br/>Point data represents flying bird nest locations
Fuzzy tagging and processing of semantic vagueness for crowd-sourcing public perceptions of environmental change
No full textIn this presentation we illustrate the application of fuzzy tagging and a "spray and say" survey method for the documentation of community-based perceptions of environmental processes. Spatial data collection by fuzzy tagging takes account of geospatial vagueness on locating phenomena, so it moves from point and polygon abstractions through the "spraying" of places towards heat maps of spray incidence. Additionally, the "spray and say" mechanism allows the interviewee to add comments about tagged places to add context and qualifications to these spatial patterns. The grid-based Tagger (Waters and Evans, 2003; Evans and Waters, 2007) and its Map-Me PPGIS vector-adaption (Huck and Carver, 2012) are pioneering instances of both approaches. Post-processing of "spray and say" data typically involves the treatment of the spatiotemporal dimension, text data and measures of processes co-located with tagged sites (e.g. terrain models or pollution indexes). To proceed with an integral analysis by which all such dimensions can be jointly taken into account, we combine Artificial Intelligence techniques, Natural Language Processing (NLP) and data mining for the coupling of GIS and linguistic functionality in Information Systems capable of storing, managing, retrieving, visualizing and analyzing complex multimodal data. We present an application of the Map-Me tool, of a multimodal Information System and of an NLP-based query language to a case study on public perceptions of environmental change on the Flathead Indian Reservation (Montana), focusing on the effects of fire suppression in fire-adapted ecosystems and on the restoration of prescribed fire as perceived by tribal and non-tribal residents. The demographic, semantic and spatia properties of responses show different tagging behaviours between tribal and non-tribal residents that positively perceive the potential reintroduction of prescribed fire, depicting opposing patterns with regard to the geographical subregions and land-use categories that these cohorts tend to tag. We conclude with suggestions as to how this approach might be applied across a range of conservation projects to both ground truth and validate traditional models and survey techniques
An Open Science approach to Participatory Mapping
Get PDFParticipatory Mapping is a rapidly growing field, built around the fundamental principle of encouraging the use of inclusive and democratic methods in the collection of participatory spatial data. The multidisciplinarity way in which Participatory Mapping has developed over the last 30 years has however resulted in a distinctly disparate field. In this paper we argue the case for an Open Science approach to be adopted. Through conducting the first large-scale systematic review of the field, challenges unique to Participatory Mapping are identified and used to formulate a set of recommendations for an Open Science approach to Participatory Mapping
Does real time experience matter? Comparison of retrospective and in situ spatial data in participatory mapping
Get PDFThe aim of this study is to reveal whether and how retrospective and in situ data collected in the process of Participatory GIS differ. This well suited technique serves for mapping the spatial aspects of an individual’s perception, and can be carried out from previous experiences (retrospectively), or directly as people go about their routine activities (in situ). The current study compares maps of people’s perceptions of urban space in Olomouc city, Czech Republic and in Manchester, UK using both approaches. Evaluating how conclusions differ between these approaches contributes to better understanding and interpretation of geospatial participatory data in future
Evaluating the spraycan : understanding participant interaction with a PPGIS
Get PDFWhilst widely accepted as an important facet of software design, the evaluation of PPGIS usability is often overlooked in research. This work comprises a novel approach to the evaluation of the Spraycan PPGIS, whereby rich insights into participant behaviour are drawn from data that are natively collected by the platform as opposed to through additional questionnaires, log files or similar. The approach will be validated against a ‘traditional’ questionnaire, before conclusions are drawn relating to the usability of the Spraycan as a platform for the collection of vague spatial data, in the hope of developing a greater understanding into the way in which people interact with geographic problems
Challenges in geocoding socially-generated data
Get PDFAn investigation into the difficulties facing researchers attempting to geocode data derived from social networking sites for analysis is presented. A number of issues are identified including the lack of any inherent scale in either the socially-generated data or the results for a geocoder, and the ambiguous nature of place names. A methodology is therefore presented that may be followed by the researcher in order to address these issues, and as such improve the quality and meaning of spatial analysis that is based upon these data
Spraycan: a PPGIS for capturing imprecise notions of place
No full textIt is increasingly common for participatory data to be collected from the public via a PPGIS, in order to gain a greater understanding both of the world around us, and people’s experience of it. The place-based thoughts and feelings of an individual do not, however, always fit well with the space-based points and polygons into which they are typically reduced in such a system, which can limit the effectiveness of many traditional PPGIS’ for data collection. In order to address this issue, an alternative PPGIS platform is presented, which allows the collection, storage and analysis of spatial data from the public without the requirement to artificially reduce these data to geographic primitives. The ‘Spraycan’ platform allows participants to create spatial representations on a map using a familiar airbrush-style interface, permitting the creation of vague regions and boundaries that better reflect the places to which they refer. Data are stored within a ‘multi-point-and-attribute’ data structure whereby each individual ‘dot’ of ‘paint’ created using the airbrush is stored as a discrete geographical object, and is joined to all other associated ‘dots’, as well as a variety of other demographic and contextual data, including free-text data in which the participants may add context to their spray patterns. The flexibility of this data structure provides a wide and extensible variety of analytical choices for the researcher, as is shown here by an example study demonstrating the use of the Spraycan for decision-support, as well as a number of real-world ‘in the wild’ applications. It is hoped that this work will open up the agenda for alternative PPGIS interfaces, in order to further explore the possibilities associated with the capture and analysis of ‘fuzzy’ place-based data
- …
