scholarly journals Enhancing interaction in maritime spatial planning workshops through collaborative GIS

2020 ◽  
Vol 2 ◽  
pp. 1-2
Author(s):  
Mikko Rönneberg ◽  
Christian Koski ◽  
Pyry Kettunen ◽  
Juha Oksanen
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Spatial Planning ◽  
Geospatial Data ◽  
Data Exploration ◽  
Analysis Tool ◽  
User Test ◽  
Wind Park ◽  
Maritime Spatial Planning ◽  
Collaborative Gis

Abstract. We have created a cross-platform web-map CGIS for collaborative Maritime Spatial Planning (MSP) workshops, called Baltic Explorer [1]. MSP requires simple and easy to use tools for facilitating discussion and managing spatial data in collaborative workshops (Pınarbaşı et al. 2017). Yet, according to reports from real-world MSP workshops, digital spatial tools are used scarcely, with planners preferring paper maps and pens to handle the geospatial interaction. Collaborative GIS (CGIS) offers tools for structuring participation in group spatial decision processes (Balram & Dragicevic 2006). Therefore, CGIS can have potential to improve many aspects of MSP workshops.Baltic Explorer offers multi-user map workspaces for collaborative geospatial data exploration, spatial analysis and collaborative map drawing, Figure 1. In MSP workshops the workflow with Baltic Explorer starts with organisers creating workspaces for the participants. During the workshop participants can explore the large amount of MSP related geospatial data overlays provided by multiple SDIs. This offers overall and detailed insight for the workshop task. Participants can contribute by sharing features they have drawn on the workspace map. These features can be viewed and edited by other participants to allow for a more interactive way of collaborating.Baltic Explorer was demonstrated and evaluated in two real-word MSP workshops as well as in a gamified user test. The first workshop was a cross-border meeting where various stakeholders discussed planning objectives and available data. The evaluation focused on exploration of geospatial data and collaborative map drawing tools. The second workshop was a cross-sector event where participants were tasked to identify a new suitable wind park site using the on-the-fly spatial analysis tool which was also the focus of the evaluation. In the gamified user test participants were tasked to play a game that simulated common MSP workshop tasks using Baltic Explorer with personal and shared device setups. The evaluation focused on the device setup to be used with CGIS tools in MSP. In all three demonstrations evaluation was carried out via naturalistic observation and questionnaires.The new way of working with spatial data in MSP workshops was well received by participants. According to the questionnaire and observations in the first workshop, participants found the geospatial data exploration and collaborative map drawing tools helpful for various tasks. The same applied in the second evaluation while also the analysis tool was considered useful. The gamified user test revealed that multiple device types, such as laptops and large screens, are recommended for MSP workshops. Access to geospatial data was considered important in all the workshops. The observation, feedback, results from questionnaires and requirements from literature were used to refine the concept of Baltic Explorer, as well as to design, enhance and add utility to the system (e.g. spatial analysis). The conducted research adds to the knowledge about interaction with spatial data in collaborative workshops, which can enhance future CGIS.

scholarly journals User experiences of using a spatial analysis tool in collaborative GIS for maritime spatial planning

2021 ◽  
Author(s):  
Christian Koski ◽  
Mikko Rönneberg ◽  
Pyry Kettunen ◽  
Aurelija Armoškaitė ◽  
Solvita Strake ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Spatial Planning ◽  
Analysis Tool ◽  
User Experiences ◽  
Maritime Spatial Planning ◽  
Collaborative Gis

Spatial Analysis

Sociology ◽  
2011 ◽  
Author(s):  
Stephen Matthews ◽  
Rachel Bacon ◽  
R. L’Heureux Lewis-McCoy ◽  
Ellis Logan
Keyword(s):  
Spatial Analysis ◽  
Spatial Statistics ◽  
Spatial Econometrics ◽  
Spatial Data ◽  
Spatial Inequality ◽  
Geospatial Data ◽  
Spatial Data Analysis ◽  
Sociological Research ◽  
Data Types ◽  
Wide Range

Recent years have seen a rapid growth in interest in the addition of a spatial perspective, especially in the social and health sciences, and in part this growth has been driven by the ready availability of georeferenced or geospatial data, and the tools to analyze them: geographic information science (GIS), spatial analysis, and spatial statistics. Indeed, research on race/ethnic segregation and other forms of social stratification as well as research on human health and behavior problems, such as obesity, mental health, risk-taking behaviors, and crime, depend on the collection and analysis of individual- and contextual-level (geographic area) data across a wide range of spatial and temporal scales. Given all of these considerations, researchers are continuously developing new ways to harness and analyze geo-referenced data. Indeed, a prerequisite for spatial analysis is the availability of information on locations (i.e., places) and the attributes of those locations (e.g., poverty rates, educational attainment, religious participation, or disease prevalence). This Oxford Bibliographies article has two main parts. First, following a general overview of spatial concepts and spatial thinking in sociology, we introduce the field of spatial analysis focusing on easily available textbooks (introductory, handbooks, and advanced), journals, data, and online instructional resources. The second half of this article provides an explicit focus on spatial approaches within specific areas of sociological inquiry, including crime, demography, education, health, inequality, and religion. This section is not meant to be exhaustive but rather to indicate how some concepts, measures, data, and methods have been used by sociologists, criminologists, and demographers during their research. Throughout all sections we have attempted to introduce classic articles as well as contemporary studies. Spatial analysis is a general term to describe an array of statistical techniques that utilize locational information to better understand the pattern of observed attribute values and the processes that generated the observed pattern. The best-known early example of spatial analysis is John Snow’s 1854 cholera map of London, but the origins of spatial analysis can be traced back to France during the 1820s and 1830s and the period of morale statistique, specifically the work of Guerry, d’Angeville, Duplin, and Quetelet. The foundation for current spatial statistical analysis practice is built on methodological development in both statistics and ecology during the 1950s and quantitative geography during the 1960s and 1970s and it is a field that has been greatly enhanced by improvements in computer and information technologies relevant to the collection, and visualization and analysis of geographic or geospatial data. In the early 21st century, four main methodological approaches to spatial analysis can be identified in the literature: exploratory spatial data analysis (ESDA), spatial statistics, spatial econometrics, and geostatistics. The diversity of spatial-analytical methods available to researchers is wide and growing, which is also a function of the different types of analytical units and data types used in formal spatial analysis—specifically, point data (e.g., crime events, disease cases), line data (e.g., networks, routes), spatial continuous or field data (e.g., accessibility surfaces), and area or lattice data (e.g., unemployment and mortality rates). Applications of geospatial data and/or spatial analysis are increasingly found in sociological research, especially in studies of spatial inequality, residential segregation, demography, education, religion, neighborhoods and health, and criminology.

scholarly journals THE UNCERTAINTIES ON THE GIS BASED LAND SUITABILITY ASSESSMENT FOR URBAN AND RURAL PLANNING

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 523-530 ◽  
Author(s):  
H. Liu ◽  
Q. Zhan ◽  
M. Zhan
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Land Suitability ◽  
Geographical Information ◽  
Analysis Tool ◽  
Practical Applications ◽  
Whole Process ◽  
Suitability Assessment ◽  
Land Suitability Assessment

The majority of the research on the uncertainties of spatial data and spatial analysis focuses on some specific data feature or analysis tool. Few have accomplished the uncertainties of the whole process of an application like planning, making the research of uncertainties detached from practical applications. The paper discusses the uncertainties of the geographical information systems (GIS) based land suitability assessment in planning on the basis of literature review. The uncertainties considered range from index system establishment to the classification of the final result. Methods to reduce the uncertainties arise from the discretization of continuous raster data and the index weight determination are summarized. The paper analyzes the merits and demerits of the “Nature Breaks” method which is broadly used by planners. It also explores the other factors which impact the accuracy of the final classification like the selection of class numbers, intervals and the autocorrelation of the spatial data. In the conclusion part, the paper indicates that the adoption of machine learning methods should be modified to integrate the complexity of land suitability assessment. The work contributes to the application of spatial data and spatial analysis uncertainty research on land suitability assessment, and promotes the scientific level of the later planning and decision-making.

The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020)

2021 ◽  
Vol 12 (3) ◽  
pp. 20-22
Author(s):  
Ahmed Eldawy ◽  
Gobe Hobona
Keyword(s):  
Spatial Data ◽  
International Workshop ◽  
Data Access ◽  
Database Systems ◽  
Cutting Edge ◽  
Geospatial Data ◽  
Data Exploration

With the increasing amount of publicly available geospatial data, the demand on spatial data exploration and analysis kept growing. The SIGSPATIAL community is both a provider of new systems with cutting-edge technology on accessing and processing geospatial data, and a user for all these systems. The SpatialAPI workshop is designed to help the SIGSPATIAL community by growing the knowledge of the existing well-established systems that are available for accessing and processing geospatial data. This includes, but is not limited to, web APIs, programming libraries, database systems, and geospatial extensions to existing systems.

scholarly journals Utility of collaborative GIS for maritime spatial planning: Design and evaluation of Baltic Explorer

2021 ◽  
Author(s):  
Christian Koski ◽  
Mikko Rönneberg ◽  
Pyry Kettunen ◽  
Søren Eliasen ◽  
Henning Sten Hansen ◽  
...  
Keyword(s):  
Spatial Planning ◽  
Maritime Spatial Planning ◽  
Collaborative Gis

scholarly journals Fisheries Sustainability through Soft Multi-Use Maritime Spatial Planning and Local Development Co-Management: Potentials and Challenges in Greece

2020 ◽  
Vol 12 (5) ◽  
pp. 2026 ◽  
Author(s):  
Stella Sofia I. Kyvelou ◽  
Dimitrios G. Ierapetritis
Keyword(s):  
Spatial Planning ◽  
Local Development ◽  
Small Scale ◽  
Artisanal Fisheries ◽  
Sustainable Livelihood ◽  
Small Scale Fisheries ◽  
Island Communities ◽  
The Mediterranean ◽  
Family Based ◽  
Maritime Spatial Planning

Small-scale fisheries in the Mediterranean represent a significant part of the fisheries industry and their substantial social, economic and place attachment related role has always been acknowledged in the region. Despite the fact that this usually family-based endeavor has a vast economic impact on coastal and island communities of the sea-basin, data and insights on the Mediterranean artisanal fisheries continue to be inadequately developed and poorly integrated in the local development strategies. Thus, the aim of this research is two-fold. Firstly, it presents some data and facts on the fisheries sector in the region and secondly it explores the options of their survival, prosperity and sustainability, approaching the combination of fisheries and tourism as a small-scale and soft “multi-use” in the marine space. Greece, with a huge potential in both the fisheries and the tourism sector, was used as focus area where a co-development process was designed aiming to identify advantages/potentials and challenges/disadvantages of the co-existence of artisanal fisheries and tourism, as perceived by a series of stakeholders including the co-management schemes (Fisheries Local Action Groups, FLAGs) in the country. Key conclusion is that sustainable livelihood from small-scale fisheries depends on the correlation between fisheries and other marine activities. Despite some limitations, this can boost sustainable local development and be a unique pattern of a “win-win” and soft multi-use marine spatial planning (MSP), with economic, environmental, social, cultural and governance related benefits for the coastal communities.

scholarly journals Multi-Use of the Sea as a Sustainable Development Instrument in Five EU Sea Basins

2021 ◽  
Vol 13 (15) ◽  
pp. 8159
Author(s):  
Joanna Przedrzymirska ◽  
Jacek Zaucha ◽  
Helena Calado ◽  
Ivana Lukic ◽  
Martina Bocci ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Baltic Sea ◽  
Spatial Planning ◽  
Economic Benefits ◽  
The Black Sea ◽  
The North ◽  
The North Sea ◽  
Maritime Spatial Planning ◽  
Definition Of ◽  
The Impact

This paper examines the concept of maritime multi-use as a territorial/SPATIAL governance instrument for the enhancement of sustainable development in five EU sea basins. Multi-use (MU) is expected to enhance the productivity of blue economy sectors, as well as deliver additional socio-economic benefits related to the environmental and social dimensions of sustainable development. The paper provides a definition of maritime multi-use and identifies the multi-uses with the highest potential in EU sea basins. In each sea basin, multi-use plays a different role as concerns sustainable development. For the Eastern Baltic Sea, the Mediterranean Sea and the Black Sea, the MU focus should remain on the environmental pillar of sustainable development. In the North Sea, North Atlantic and Western Baltic Sea, addressing social sustainability seems a key precondition for success of MU in enhancement of sustainable spatial development at sea. Moreover, it has been suggested to introduce MU key global strategies such as SDGs or Macroregional strategies and action plans and to supplement maritime spatial planning with sectoral incentives and educational efforts as key vehicles supporting MU. The paper concludes by identifying aspects which, in order to inform maritime spatial planning and maritime governance regarding a more conscious application of the aforementioned concept, require further investigation. Key tasks are related to: more profound evaluation of performance of policies supporting MUs, researching the impact of MU on societal goals and on the MU costs and benefits, including external ones, and finally identifying the impact of MU on the development of various sectors and regions on land.

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