Spatial Data Requirements for Metropolitan Spatial Planning in South Australia: Challenges for Evidence-informed Policy-making and Monitoring

2021 ◽  
pp. 1-23
Author(s):  
Stefanie Dühr ◽  
Hulya Gilbert ◽  
Stefan Peters
Keyword(s):  
Spatial Data ◽  
Spatial Planning ◽  
Policy Making ◽  
South Australia ◽  
Data Requirements

scholarly journals A redesign of OGC Symbology Encoding standard for sharing cartography

2017 ◽  
Author(s):  
Erwan Bocher ◽  
Olivier Ertz
Keyword(s):  
Spatial Data ◽  
Poor Quality ◽  
Use Cases ◽  
General Observation ◽  
Data Infrastructures ◽  
Open Standards ◽  
Definition Of ◽  
Data Requirements ◽  
Basic Level

Despite most Spatial Data Infrastructures are offering service-based visualization of geospatial data, requirements are often at a very basic level leading to poor quality of maps. This is a general observation for any geospatial architecture as soon as open standards as those of the Open Geospatial Consortium (OGC) shall be applied. To improve the situation, this paper does focus on improvements at the portrayal interoperability side by considering standardization aspects. We propose two major redesign recommendations. First to consolidate the cartographic theory at the core of the OGC Symbology Encoding standard. Secondly to build the standard in a modular way so as to be ready to be extended with upcoming future cartographic requirements. Thus, we start by defining portrayal interoperability by means of typical use cases that frame the concept of sharing cartography. Then we bring to light the strengths and limits of the relevant open standards to consider in this context. Finally we propose a set of recommendations to overcome the limits so as to make these use cases a true reality. Even if the definition of a cartographic-oriented standard is not able to act as a complete cartographic design framework by itself, we argue that pushing forward the standardization work dedicated to cartography is a way to share and disseminate good practices and finally to improve the quality of the visualizations.

scholarly journals Participatory Modeling With QUICKScan to Shape Sustainable Urban Development

2020 ◽  
Vol 8 ◽  
Author(s):  
Peter Verweij ◽  
Anouk Cormont ◽  
Michiel van Eupen ◽  
Manuel Winograd ◽  
Jorgelina Hardoy
Keyword(s):  
Decision Maker ◽  
Spatial Data ◽  
Spatial Planning ◽  
Sustainable Urban Development ◽  
Institutional Setting ◽  
Local Data ◽  
Participatory Modeling ◽  
Planning Methods ◽  
Multi Stakeholder ◽  
The Right

Current spatial planning methods are often technocratic, slow, fail to use the right kind of evidence or do not involve (all) the actors needed to create support and consensus. We present a method that facilitates the use of evidence (data) in participatory spatial planning processes, resulting in a joint understanding of the most important causalities, as a means to build capacity across actors. QUICKScan is a participatory modeling method that links stakeholder- and decision maker knowledge and preferences to available spatial and spatio-statistical data, and is designed for group use in a multi-stakeholder workshop setting. We describe four urban QUICKScan applications, that vary in objective, scale and institutional setting. The most critical in organizing a QUICKScan session is to: (i) include crucial participants in a single plenary workshop (decision maker, local data expert, and local thematic experts), (ii) create an open atmosphere in which each and everyone's opinion is treated equally, (iii) dialogue is more important than an abundance of detailed spatial data, and (iv) start with simple modeling rules and iterate often while expanding the set of rules and trying out alternatives.

Use of Geo-Information in Environmental Policy

2014 ◽  
Vol 5 (1) ◽  
pp. 38-58
Author(s):  
Wies Vullings ◽  
Jandirk Bulens ◽  
Dennis Walvoort
Keyword(s):  
Environmental Policy ◽  
Conceptual Framework ◽  
Spatial Data ◽  
Policy Making ◽  
Daily Practice ◽  
Spatial Thinking ◽  
Full Potential ◽  
Policy Makers ◽  
Data Infrastructure

To date, use of the full potential of geo-information is not often applied in the daily practice of policy makers. The main questions explored by this research are: Why is geo-information not widely used in policy and how can this be improved? A conceptual framework was developed to evaluate the use of geo-information. For five cases, the use of geo-information was evaluated by means of this framework. The results of the evaluation, as well as the usefulness of the framework, are discussed. Recommendations on spatial thinking and practice, availability and quality of a spatial data infrastructure and implementation of new geo-applications in policy-making are also made.

Visual exploration of high-dimensional spatial data: requirements and deficits

2000 ◽  
Vol 26 (1) ◽  
pp. 77-85 ◽  
Author(s):  
Christoph Uhlenküken ◽  
Benno Schmidt ◽  
Ulrich Streit
Keyword(s):  
Spatial Data ◽  
Visual Exploration ◽  
High Dimensional ◽  
Data Requirements

Historical changes in mean trophic level of southern Australian fisheries

2014 ◽  
Vol 65 (10) ◽  
pp. 884 ◽  
Author(s):  
Heidi K. Alleway ◽  
Sean D. Connell ◽  
Tim M. Ward ◽  
Bronwyn M. Gillanders
Keyword(s):  
Trophic Level ◽  
Spatial Data ◽  
South Australia ◽  
Trophic Levels ◽  
High Trophic Level ◽  
Fishing Pressure ◽  
Time Line ◽  
The Mean ◽  
Mean Trophic Level ◽  
Catch Statistics

Decreases in the mean trophic level (MTL) of fishery catches have been used to infer reductions in the abundance of high trophic level species caused by fishing pressure. Previous assessments of southern Australian fisheries have been inconclusive. The objectives of the present study were to provide more accurate estimates of MTL using disaggregated taxonomic and spatial data. We applied the model of MTL to fisheries catch statistics for the state of South Australia from 1951 to 2010 and a novel set of historical market data from 1936 to 1946. Results show that from 1951 to 2010, MTL declined by 0.16 of a trophic level per decade; a rate greater than the global average of 0.10 but equivalent to similar regional investigations in other areas. This change is mainly attributable to large increases in catches of sardine, rather than reductions in the catches of high trophic level species. The pattern is maintained when the historical data is included, providing a time line from 1936 to 2010. Our results show a broadening of the catch of lower trophic levels and suggest care in interpretation of MTL of catches because reductions do not necessarily reflect change in high trophic level species by fishing pressure.

scholarly journals A redesign of OGC Symbology Encoding standard for sharing cartography

2017 ◽  
Author(s):  
Erwan Bocher ◽  
Olivier Ertz
Keyword(s):  
Spatial Data ◽  
Poor Quality ◽  
Use Cases ◽  
General Observation ◽  
Data Infrastructures ◽  
Open Standards ◽  
Definition Of ◽  
Data Requirements ◽  
Basic Level

Despite most Spatial Data Infrastructures are offering service-based visualization of geospatial data, requirements are often at a very basic level leading to poor quality of maps. This is a general observation for any geospatial architecture as soon as open standards as those of the Open Geospatial Consortium (OGC) shall be applied. To improve the situation, this paper does focus on improvements at the portrayal interoperability side by considering standardization aspects. We propose two major redesign recommendations. First to consolidate the cartographic theory at the core of the OGC Symbology Encoding standard. Secondly to build the standard in a modular way so as to be ready to be extended with upcoming future cartographic requirements. Thus, we start by defining portrayal interoperability by means of typical use cases that frame the concept of sharing cartography. Then we bring to light the strengths and limits of the relevant open standards to consider in this context. Finally we propose a set of recommendations to overcome the limits so as to make these use cases a true reality. Even if the definition of a cartographic-oriented standard is not able to act as a complete cartographic design framework by itself, we argue that pushing forward the standardization work dedicated to cartography is a way to share and disseminate good practices and finally to improve the quality of the visualizations.

scholarly journals GEO-VISUALISATION AND VISUAL ANALYTICS FOR SMART CITIES: A SURVEY

2018 ◽  
Vol XLII-4/W11 ◽  
pp. 11-18
Author(s):  
S. Harbola ◽  
V. Coors
Keyword(s):  
Public Administration ◽  
Spatial Data ◽  
Smart City ◽  
Visual Analytics ◽  
Smart Cities ◽  
Urban System ◽  
Human Interaction ◽  
White Spots ◽  
Data Requirements ◽  
Insight Into

<p><strong>Abstract.</strong> Geo-Visualisation (GV) and Visual Analytics (VA) of geo-spatial data have become a focus of interest for research, industries, government and other organisations for improving the mobility, energy efficiency, waste management and public administration of a smart city. The geo-spatial data requirements, increasing volumes, varying formats and quality standards, present challenges in managing, storing, visualising and analysing the data. A survey covering GV and VA of the geo-spatial data collected from a smart city helps to portray the potential of such techniques, which is still required. Therefore, this survey presents GV and VA techniques for the geo-spatial urban data represented in terms of location, multi-dimensions including time, and several other attributes. Further, the current study provides a comprehensive review of the existing literature related to GV and VA from cities, highlighting the important open white spots for the cities’ geo-spatial data handling in term of visualisation and analytics. This will aid to get a better insight into the urban system and enable sustainable development of the future cities by improving human interaction with the geo-spatial data.</p>

scholarly journals Losing our way with mapping: Thinking critically about marine spatial planning in Scotland

2018 ◽  
Author(s):  
Glen Smith ◽  
Ruth E Brennan
Keyword(s):  
Spatial Data ◽  
Spatial Planning ◽  
Actor Network Theory ◽  
Management Tool ◽  
Marine Spatial Planning ◽  
Marine Environments ◽  
Social Ecological ◽  
Tightly Coupled ◽  
Pass Through ◽  
Definition Of

Marine spatial planning (MSP) is the dominant management tool for marine environments around the world and is an attempt to move beyond the sectoral governance of marine spaces. Scotland is no exception and MSP is central to its management plans. The interpretation and use of spatial data informs these plans and maps provide the backbone of the decision-making process. Whilst not refuting MSP as a governance tool, this paper examines more closely some of the inherent problems with representing marine environments spatially and how the practice of map-making inevitably interacts with social-ecological networks. Borrowing from critical cartography and Actor-Network Theory (ANT), four observations are made: 1) due to the necessary procedure of categorising and simplifying data, maps do not always accurately represent changeable marine environments and situations; 2) maps can produce reality as much as represent it; 3) mapping has become the point through which all actors and stakeholders must pass; 4) as they are obliged to pass through this point, the roles and definition of certain actors can change. This discussion of marine spatial planning in Scotland demonstrates what can be learnt from viewing marine spaces as a tightly coupled social-ecological environment.

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