scholarly journals Negative Spatial Autocorrelation: One of the Most Neglected Concepts in Spatial Statistics

Stats ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 388-415 ◽  
Author(s):  
Daniel A. Griffith

Negative spatial autocorrelation is one of the most neglected concepts in quantitative geography, regional science, and spatial statistics/econometrics in general. This paper focuses on and contributes to the literature in terms of the following three reasons why this neglect exists: Existing spatial autocorrelation quantification, the popular form of georeferenced variables studied, and the presence of both hidden negative spatial autocorrelation, and mixtures of positive and negative spatial autocorrelation in georeferenced variables. This paper also presents details and insights by furnishing concrete empirical examples of negative spatial autocorrelation. These examples include: Multi-locational chain store market areas, the shrinking city of Detroit, Dallas-Fort Worth journey-to-work flows, and county crime data. This paper concludes by enumerating a number of future research topics that would help increase the literature profile of negative spatial autocorrelation.

Author(s):  
Ihor Kozak ◽  
Hanna Kozak

The study was conducted within the actual area of Lutoviska commune in Bieszczady district, Podkarpackie voivodeship in Eastern Poland. The dynamics of settlements in Lutoviska commune from the 2nd half of the 18th century was discussed. Maps and historical data were analyzed in the ArcGIS 10.3 program. In the study there were presented possibilities of applying the ArcGIS for Desktop 10.3 program. We analyzed the Lutoviska commune in terms of the changes of settlements and used maps for the analysis of changes in its structure. The first of these was the historical map, namely the tactical map of “WIG” in scale 1:100 000 from 1936. Next we analyzed maps from 1965 and 2014, which were prepared applying the “WMS” server. The changes in the number of villages and households were presented. Population dynamics for Greek-Catholics, “Latynnykys” and Jews for the year 1785 and Ukrainians in comparison with the number of Poles and Jews for the year 1939 were shown. Ethnic and religious composition from the 2nd half of the 18th century was evaluated. Based on the study of spatial placement of settlements with the use of Spatial Statistics (Spatial Autocorrelation Global Moran’s test, Standard Deviational Ellipse and Mean Centre) the character of settlements distribution in Lutoviska commune was presented. There was confirmed a similar configuration of Standard Deviation Ellipse and Mean Center for Greek-Catholics-Ukrainians in 1785 and Ukrainians in 1939 in Lutoviska commune. The scale and results of such changes are interesting for future research, mainly in terms of the change of traditional village system infrastructure and culture. Key words: dynamics, village, GIS, Lutoviska commune.


Author(s):  
Tera D. Letzring

This chapter identifies several well-established findings and overarching themes within personality trait accuracy research, and highlights especially promising directions for future research. Topics include (1) theoretical frameworks for accuracy, (2) moderators of accuracy and the context or situation in which judgments are made, (3) the important consequences of accuracy, (4) interventions and training programs to increase judgmental ability and judgability, (5) the generalizability of previous findings, and (6) standardized tests of the accuracy of judging personality traits. The chapter ends by stating that it is an exciting time to be a researcher studying the accuracy of personality trait judgments.


2021 ◽  
Vol 26 (2) ◽  
pp. 179-204
Author(s):  
Massimo Sargiacomo ◽  
Stefania Servalli ◽  
Serena Potito ◽  
Antonio D’Andreamatteo ◽  
Antonio Gitto

This study offers an analysis of published historical research on accounting for natural disasters. Drawing on the insights provided by an examination of 35 accounting/business/economic history and generalist journals, 11 articles have been selected and analysed. The analysis conducted on the scattered literature identified the emerging themes, disasters investigated, periods of time explored and main contributions of published research. The analysis is extended by the examination of some key conferences of interdisciplinary history associations, and of the eventual journals/issues where the papers presented were published. The investigation has also been complemented by a brief selection of books showing historical analyses of diverse disasters, typologies and periods of investigation. The stimuli provided by the study have helped to portray the main features of an open research agenda, highlighting possible future research topics and suggesting ancient and recent disasters’ loci to be investigated worldwide.


SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110164
Author(s):  
Lian Tang ◽  
Siti Zobidah Omar ◽  
Jusang Bolong ◽  
Julia Wirza Mohd Zawawi

The widespread use of social media has promoted extensive academic research on this channel. The present study conducts a systematic analysis of extant research on social media use among young people in China. This systematic literature review aims to identify and bridge gaps in topics, theories, variables, and conceptual frameworks in studies of social media usage among young people in China. The study aims to develop a cause–effect framework that shows the causal relationships among research structures. The PRISMA method is used to review 20 articles drawn from the Scopus and Google Scholar databases. From the analysis, 10 major research topics, eight theories or models, and a complete framework of causal relations emerge. It is recommended that future research on social media should include a greater diversity of types of social media, investigate a wider range of research topics, and adopt different theories or models. Researchers should also implement a more complete and detailed systematic method for reviewing literature on social media research in China.


2021 ◽  
Vol 7 (1) ◽  
pp. 104
Author(s):  
Wei-Hao Su ◽  
Kai-Ying Chen ◽  
Louis Y. Y. Lu ◽  
Ya-Chi Huang

This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases, respectively. First, a network was established using references from the academic literature; main path analysis was conducted on this reference network to plot the overall development trajectory. Subsequent cluster and word cloud analyses revealed the following five major groups of AR research topics: AR surgical navigation applications, AR education applications, AR applications in manufacturing, AR applications in architecture, and AR applications in visual tracking. Subsequently, the relationships between the overall development trajectory and the five AR research topics were compared. Next, the title and abstract of AR-related academic and patent papers were subjected to text mining to identify keywords with a high frequency of occurrence. The results can provide a reference for industry, government, and academia when planning future development strategies for the AR field. This research adopted an integrated analysis procedure to plot the trajectory of AR technology development and applications successfully and effectively, predict future patent research and development directions and produce technological forecasts.


2015 ◽  
Vol 27 (7) ◽  
pp. 1556-1572 ◽  
Author(s):  
Xi Yu Leung ◽  
Lan Xue ◽  
Billy Bai

Purpose – The purpose of this study is to provide a progress review of published Internet marketing research within the top eight hospitality and tourism journals and to provide suggestions on future research directions. Design/methodology/approach – The study collected 331 Internet marketing-related articles published in the top eight hospitality and tourism journals during the period of 1996-2013. Using content analysis, the study analyzed and discussed research topics, research methods and industry sectors of selected articles. The study period was broken into three sub-periods and used correspondence analysis (CA) to examine the significant changes of topical areas over time. A follow-up CA was conducted to compare the topical and methodological preferences of the selected eight journals. Findings – In all, 5-category and 27-subcategory classifications of research topics were identified in the study. The two-dimensional perceptual map indicates that Internet marketing research in the hospitality and tourism fields experienced introduction, growth and maturity stages. The research focus changed from business perspective to customer perspective and then to both business and customer perspectives. The eight top hospitality and tourism journals were grouped into four journal sets that share similar article characteristics and preferences. Research limitations/implications – Due to the sample size, the classifications and trends generated in this study may not be generalized to all Internet marketing research in hospitality and tourism disciplines. The process of identifying topic and method categories might be biased, especially in identifying new topics. Future research may apply CA method in literature review studies on other research topics. Practical implications – The study analyzed published research in Internet marketing in the hospitality and tourism fields and provided topical and methodological recommendations to academia for future research. This study may also give hospitality managers new insights into Internet marketing applications in the industry. Originality/value – This study is one of the few attempts to provide a comprehensive review of Internet marketing research in the hospitality and tourism fields. This study uses CA in literature review study, opening up a new way to easily analyze and visually display the literature trends. This study also creatively compared the publication preferences among eight top-tier hospitality and tourism journals using correspondence analysis.


Author(s):  
Nicola Blefari Melazzi ◽  
Teresa Andrade ◽  
Richard Walker ◽  
Leonardo Chiariglione ◽  
Iakovos S. Venieris ◽  
...  

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