1,720,957 research outputs found
The role of Volunteered Geographic Information (VGI) and Social Media Geographic Information (SMGI) in Spatial Planning
No full textOur contribution concerns the use of Social Media Geographic Information (SMGI) as an emergent pluralist source of information which may find valuable application in spatial planning and Geodesign. On the base of empirical research, the authors propose a tentative framework for SMGI Analytics in spatial planning. Among other methods, Spatial-Temporal Textual Analysis (STTx) is proposed as a tool to investigate people perceptions and interest in space and time. Possible implications and benefits of SMGI analytics for the planning practice emerge from the overall discussion.
The results proposed in this contribution concern three main research streams carried on by the authors with the common feature of integrating social media and other volunteered sources of information with authoritative sources of information found in Spatial Data Infrastructures (SDI) for decision-making support in spatial planning. The case-studies are carried-on in the Sardinia Region in Italy.
The first case study deals with the use of a geographic social media platform called Place, I care! Developed by the authors. PIC is a SMGI platform which allows users to register to a project and publish and interact with SMGI in a geo-browser wherein the working space is an interactive map. A pilot project called Cagliari, I care! 2.0 (CIC 2.0) was set-up asking the participants to spot and report issues of appreciation and/or concern from an environmental, social, or cultural perspective in Cagliari, Italy. In PIC each post is a multimedia placemark wherein the user can attach textual descriptions, pictures, video or audio clip. The purpose of the pilot was not only to stimulate the participation to an online map-based dialogue, but also to develop a novel analytics to be applied to the information stemming from the discussion among the participants with other applications and tools in order to understand possible ways to extract useful knowledge for planning support. It should be noted that the term analytics, often related to analysis of big data, recently emerged as an integrated framework of different analysis enabling knowledge building and decision-making support. In this sense we may refer here to SMGI analytics in planning, meaning the extraction of useful knowledge for spatial planning and decision-making. The potential of SMGI is then to express a pluralist view of reality supporting the discourse according to the most recent paradigm in communicative planning.
The second research stream carried on by the authors deals with the role of SMGI is playing as an information resource in tourism both for customers (i.e. the tourists), who gather trustworthy information supporting the choice of destinations and services from peers, and for businesses, which can use the same information for improving their marketing strategies. The use of social media data can also offer new opportunities for decision-support in tourism planning. With improved understanding of the motivations of tourists and tailoring tourism service supply, decision making can be facilitated by emphasizing the strengths of tourist destinations for past and potential visitors. However, this kind of information about tourists perceptions and opinions is not always properly analysed by planners. Understanding the user satisfaction, which depends on factors related to both the location and the services that the local industry proposes, may offer valuable information in tourism planning at regional and local level. In the light of the above premises, the goal of this study is to propose an integrated approach to investigate the relationships between tourists satisfaction, destination resources and tourism industry for supporting design and decision-making in regional tourism planning. The methodology developed in the study includes data collection from popular tourism social media platforms (i.e. Booking.com and TripAdvisor.com.com), and their integration with territorial and tourism data. Spatial and statistical analysis techniques are then applied to elicit insights from tourists perceptions on success factors which may be used in decision-making and planning support. The case study demonstrates the value of social media data and computational social science techniques in tourism planning. A critical discussion on the potential of using such an approach in more general urban and regional planning setting is also given in this contribution.
The third research work reported in this contribution further investigate the opportunities of Social Media Geographic Information (SMGI) as valuable support for analysis, design and decision-making in urban and regional planning.
To this end, an original user-friendly tool developed by the authors is presented, which is able to extract information from popular Social Media such as Twitter.com and Youtube.com from a GIS application and to apply Spatial-Temporal Textual (STTx) analysis . The Spatext STTx suite is implemented as add-in for ESRI ArcGIS©. It includes a suite of tools, which can be used to achieve three main goals for analysis: (1) social media data retrieval from Twitter and YouTube, (2) data geocoding, and (3) spatial-temporal analysis of textual content. The coupling of Spatext functionalities with standardGIS spatial analysis tools can ease the integration of SMGI with authorative data, for analysis, design and support of decision-making in urban and regional planning. Two case-studies concerning natural protected areas planning and management, and cultural heritage conservation are under development by the authors in order to demonstrate at the regional and at the local scale the potential of SMGI analytics in regional and urban planning. The objective is to show how SMGI analytics can support design, analysis and decision making in planning, and add the value of pluralism to democratic decision-making.
The contribution ends with a summary on the opportunities of SMGI analytics for possibly affecting the decision-making process in urban and regional planning and Geodesign
The role of Volunteered Geographic Information (VGI) and Social Media Geographic Information (SMGI) in Spatial Planning
No full textOur contribution concerns the use of Social Media Geographic Information (SMGI) as an emergent pluralist source of information which may find valuable application in spatial planning and Geodesign. On the base of empirical research, the authors propose a tentative framework for SMGI Analytics in spatial planning. Among other methods, Spatial-Temporal Textual Analysis (STTx) is proposed as a tool to investigate people perceptions and interest in space and time. Possible implications and benefits of SMGI analytics for the planning practice emerge from the overall discussion
GeoInformatics and Spatial Planning bridging the gap towards GeoDesign: focus on VGI
No full textThe adoption of Information Communication Technology (ICT) as supporting
tool in spatial planning has been an active research field since the
late 1980s. Nevertheless, the results of promising research, education and
practices, but in seldom cases, often failed to lead to widespread adoption
of ICT in spatial planning curricula and professional practices. The current
debate on GeoDesign represents a join attempt of scientists, practitioners
and the geospatial-industry to overcome the barriers which still limit the
adoption of geospatial methods in planning and design.
Within this framework, this contribution presents a recent research and
education project on Volunteered Geographic Information (VGI) application
design, undertaken in cooperation between the University of Cagliari
and the Tomsk Polytechnic University. Early results of the project are presented
together with a discussion on implications for education and research
in the domain of ICT support in spatial planning and Geo-Design
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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