Relevant bibliographies by topics / Regional clustering

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Regional clustering'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Regional clustering"

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Enright, Michael J., and Brian H. Roberts. "Regional Clustering in Australia." Australian Journal of Management 26, no. 1_suppl (August 2001): 65–85. http://dx.doi.org/10.1177/031289620102601s04.

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Dolores Gadea-Rivas, M., Ana Gómez-Loscos, and Eduardo Bandrés. "Clustering regional business cycles." Economics Letters 162 (January 2018): 171–76. http://dx.doi.org/10.1016/j.econlet.2017.10.029.

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Юрий Николаевич, Лапыгин, and Ковалев Евгений Александрович. "CLUSTERING HEALTH IN REGIONAL STRATEGIES." STATE AND MUNICIPAL MANAGEMENT SCHOLAR NOTES 1, no. 4 (December 25, 2020): 29–34. http://dx.doi.org/10.22394/2079-1690-2020-1-4-29-34.

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Vertakova, Yu V., and Yu S. Polozhentseva. "Clustering algorithm of regional economic space." St. Petersburg State Polytechnical University Journal. Economics 235, no. 1 (March 2016): 75–85. http://dx.doi.org/10.5862/je.235.7.

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Tavares, Rodrigo. "Regional clustering of peace and security." Global Change, Peace & Security 21, no. 2 (June 2009): 153–64. http://dx.doi.org/10.1080/14781150902872000.

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Sonğur, Cuma, and Mehmet Top. "Regional clustering of medical imaging technologies." Computers in Human Behavior 61 (August 2016): 333–43. http://dx.doi.org/10.1016/j.chb.2016.03.056.

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Charykova, O. G., and E. S. Markova. "Regional Clustering in the Digital Economy." Economy of Region 15, no. 2 (June 2019): 409–19. http://dx.doi.org/10.17059/2019-2-8.

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Mitina, Ella, and Olga Yarosh. "Forecasting Organic Consumption Based on Regional Clustering." Regionalnaya ekonomika. Yug Rossii, no. 2 (August 2020): 171–82. http://dx.doi.org/10.15688/re.volsu.2020.2.16.

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One of the most important strategic tasks of the agrarian policy of the Russian Federation is to provide the population of the country with high-quality and safe food. They first of all determine the health state of people. This situation is connected with the fact that 70% of harmful substances enter the human body with food. Consumers must be given the opportunity to purchase quality food products grown by organic farms. The organic market in Russia is at the initial stage, so there is a huge shortage of statistics to identify consumption of these products and their statistical records are not included into a separate group of agricultural products. In this regard the authors have developed and tested a methodology for the normative forecast of the potential consumption of organic products based on the clustering of the regions of the Republic of Crimea, which includes six consecutive stages. They combine the use of a complex of marketing and statistical analysis methods implemented in the SPSS environment; mapping using modern GIS technologies with the allocation of geographic information profiles of the region, which allow differentiating the territory of the peninsula in terms of the potential consumption of organic products. The gradation of the limits of potential consumption of these goods is made automatically by means of the method of classification of natural boundaries. The main results obtained in the work include: identification of the amount of money spent by the population on the consumption of organic products; establishment of the limits on growth of potential consumption for a given product in the region; determination of its share and dynamics of the increase in the structure of the total commodity circulation of the peninsula, identification of areas that form potential organic consumption in the Republic of Crimea.
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Smirnov, V. V., and A. V. Mulendeeva. "Regional clustering of the Russian higher education." Regional Economics: Theory and Practice 17, no. 2 (February 15, 2019): 266–82. http://dx.doi.org/10.24891/re.17.2.266.

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Yelkikalan, Nazan, Ergül Söylemezoğlu, Abdullah Kıray, Rukiye Sönmez, Bilal Ezilmez, and Melike Altun. "Clustering Approach as a Regional Development Tool." Procedia - Social and Behavioral Sciences 58 (October 2012): 503–13. http://dx.doi.org/10.1016/j.sbspro.2012.09.1027.

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Dissertations / Theses on the topic "Regional clustering"

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Stough, Joshua V. Pizer Stephen M. "Clustering and shifting of regional appearance for deformable model segmentation." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,2142.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.
Title from electronic title page (viewed Feb. 17, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science." Discipline: Computer Science; Department/School: Computer Science.
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Trimboli, Anthony B. "An Improved Regional Honey Production Model for the United States." TopSCHOLAR®, 2017. http://digitalcommons.wku.edu/theses/1961.

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Currently three systems are used to categorize honey production regions in the United States, one from the United States Department of Agriculture, one from the American Bee Journal used for its monthly U.S. Honey Crop and Markets report, and one from Bee Culture’s monthly regional honey price report. These systems follow political state boundaries and are based upon climate, bee forage, and regional beekeeping practices. While these systems are popular with the general beekeeping community, to our knowledge, their accuracy has not been studied. Although differing geographic regions can vary in bee forage species availability, states with similar geography and flora should have similar honey production. This is not the case because states within the same honey production region vary in honey production, possibly due to smaller ecotype divisions within the larger honey production regions. Due to this ecotype gradient, some models divide the United States into far more regions based upon ecotypes and disregard political boundaries. While a model based on ecotypes that disregard state political boundaries may be more accurate, it is not currently possible to statistically evaluate them due to how honey production data are collected. This study developed nine novel regional honey production models that regard political boundaries while attempting to satisfy ecotype similarity. The first four alternative models are based solely on Level II ecoregions and were developed by a best fit manual approach that minimized the number of ecoregions per honey production region. The five remaining models were created using statistical k-means partitioning cluster analysis and are purely data based. Also discussed is a linear regression model produced by Page et al. Differences within and between the models were analyzed using descriptive statistics and ANOVA in order to determine an improved model that describes regional honey production in the United States. Many of the models, both preexisting and those developed for this study, had insignificant means and are not viable. Of those that had significant means, a k-means cluster based model was determined to be the statistically superior model and can be considered an improved regional honey production model for the United States.
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Farrar, David B. "Some Model-Based and Distance-Based Clustering Methods for Characterization of Regional Ecological Stressor-Response Patterns and Regional Environmental Quality Trends." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28824.

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We develop statistical methods for evaluation of regional variation of ecological stressor-response relationships, and regional variation in temporal profiles of water quality, for application to data from monitoring stations on bodies of water. To evaluate regional variation in regression relationships, we use model-based clustering procedures with class-specific regression models. Units for clustering are taken to be basins, or combinations of basins and ecoregions. We rely on a Bayesian formulation and sample the posterior distribution using a Markov chain Monte Carlo algorithm. Two general approaches to the label-switching problem are considered, each leading to procedures that we apply in data analyses. Two applications are presented. We explore some relationships among priors with a Dirichlet distribution for class probabilities. We compare two rank-based criteria for grouping stations according to similarities in temporal profiles. The two criteria are illustrated in a hierarchical cluster analysis based on measurements of a water quality variable.
Ph. D.
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Li, Boyi. "Regional clustering through internet networks : the case of web-enabled entrepreneurial cluster in China." Thesis, London School of Economics and Political Science (University of London), 2014. http://etheses.lse.ac.uk/1041/.

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This research examines the rationale of geographic co-location of entrepreneurs who do business on internet platforms. Prior research has shown that entrepreneurs gain valuable synergy benefits from being embedded in industrial networks. Nevertheless, the advantages of geographic clustering when business is conducted via the internet are still to be understood. This research aims to understand how internet-based economic activity interacts with local social relations and structures, thus seeking to explain the phenomenon of industrial clustering of internet-enabled entrepreneurial activity. Guided by theories of relational and institutional embeddedness, we examine the way social relations are formed online, trace the rationale of local social relations while business is conducted online, and study the role of major institutional actors that support the economic activities of the entrepreneurs. Empirically, this thesis examines two regional clusters of Chinese microentrepreneurs who conduct their business on an e-commerce platform and form dynamic interpersonal ties with business partners and customers both online and offline. The method of ethnographic case study is adopted to gain in depth understanding of the ways various internet networking tools have been appropriated in business practice in these two cases and the ways local microentrepreneurs build up collaborative networks in geographic place as well as cyberspace. The study of Chinese micro-entrepreneurs reveals and substantiates the formation of a hybrid sociality, whereby economic exchange via the internet and business conducted by electronic tools are complemented by local social relations and actively supported by local government and the IT service corporation. This research also contributes to development policy considerations; it shows that regions that are usually unattractive to capital and knowledge/talent flows can gain economic development momentum by entangling the conduct of business on web platforms with local social institutions.
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Lundequist, Per. "Spatial clustering and industrial competitiveness : Studies in economic geography." Doctoral thesis, Uppsala : Department of Social and Economic Geography, Uppsala University, 2002. http://publications.uu.se/theses/99-2002-0429140456/.

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Tano, Sofia. "Migration and Regional Sorting of Skills." Doctoral thesis, Umeå universitet, Nationalekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-86674.

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This thesis consists of an introductory part and four papers. Paper [I] estimates jointly the choice of whether to enroll in education and the choice of location among young people. Being a particularly mobile group, the location choices of young individuals shape much of the regional distribution of human capital, growth, and local public sector budgets. Applying Swedish register data on nest leavers, we seek to determine factors deciding the education and location choice of young people. The results indicate a systematic selection higher education based on school grades and preferences for locations with higher per capita tax bases and with lower shares of elderly people. The importance of family networks for the choice of location is confirmed.              Paper [II] examines how individual ability, reflected by the grade point average (GPA) from comprehensive school affects the probability of migration among university graduates. The econometric analysis applies detailed micro-data of two entire cohorts of young individuals retrieved from the Swedish population registers. The results indicate that individual abilities are strongly influential both concerning completion of a university degree and for the migration decision. In addition, we find a positive relationship between the GPA and migrating from regions with lower per capita tax bases and/or a relatively small share of highly educated individuals. Analogously, individuals with a high GPA tend to stay in more densely populated regions, suggesting a clustering of human capital vis-à-vis school grades.  Paper [III] estimates the relationship between migration across labour market regions and the subsequent changes in earnings by using the GPA from the final year of comprehensive school as a proxy for ability. This measure aims to capture heterogeneity in the returns to migration for individuals conditional on education attainment. Using Swedish register data on young adults, a difference-in-difference propensity score matching estimator is applied to estimate income differences measured up to seven years after migration. The results show variation between different ability groups regarding the returns to regional migration. There are indications of larger gains for individuals holding top grades, while the bottom half seems to benefit less, or face slightly negative effects. Paper [IV] examines whether power couple formation and the location choice of such couples are driven by factors already inherent in young people during their formative school years. The paper also extends the analysis by modeling location choice among different sizes of labor market areas, given different power statuses of the couples. Based on analysis of Swedish register data, we produce evidence that power spouses evolve from the population of high achieving school age individuals; the latter is identified by high academic performance during their years of compulsory school. Regarding location choice, the results indicate that power couples display a relatively high tendency to migrate from their regions of origin to large cities.
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Carmvall, Louise. "Regional Clustering to support Start-up businesses : - A study on social networks in Gnosjöandan and Silicon Valley -." Thesis, Växjö University, School of Management and Economics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-6473.

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The report is aimed to stress the support of start-up businesses that exists in the environment of cluster regions. The author will introduce the reader to the conceptions of cluster regions and different shapes of social capital. The empirical study is based on two specific networks operating in two cluster areas – contributing with a broader aspect of the conception of integration. The districts are the region of Gnosjö in southern Sweden and Silicon Valley in southern San Francisco, USA. The author explore relationships between actors within the two networks and highlight two different approaches the networks use dealing with different perspectives as supporting start-up businesses. She emphasizes the importance of nurturing relations in the regional environment, with stand in natural routines and informal meetings. This will be illustrated through examples of intimate interaction in Gnosjöandan and Silicon Valley, through a perspective of regional advantage, facing global markets. The analysis is based on theoretical support with foundation in several themes of conditions for a start-up business to establish on the market. With basis in theoretical frameworks and empirical facts the report has generated an interesting argumentation of critical conditions for establishment of start-up businesses. The discussion is based on different perspectives due to the dissimilar cases used in the study. Consequently, start-up conditions, generated in cluster atmospheres, are highlighted through three interesting aspects.

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Hovander, Sebastian. "The Distance to a University and Regional Output : A Study of how Distance to a University Impacts the Economic Productivity of a Municipality." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Nationalekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-34589.

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The Swedish population is rapidly increasing in educational level in the past two decades and educational level has long been a topic of interest for labor productivity. This increase in educational level brings up an interesting discussion of whether the remoteness of a university helps create productivity and if so by how much. This is a study that will try and explain the impact on regional productivity by having a university closer, using the distance to the closest university of each municipality in Sweden, and depending on what quality this university possess. Using simple OLS regressions results have shown some reasons for increased productivity, either positive or negative, while distance showed to not matter for regional productivity at all. This field is somewhat untouched, and with further research and by including other geographical economic theories, it could become an interesting study.
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Krčál, Adam. "High-dimensional VAR analysis of regional house prices in United States." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-202128.

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In this thesis the heterogeneity of regional real estate prices in United States is investigated. A high dimensional VAR model with additional exogenous predictors, originally introduced by \cite{fan11}, is adopted. In this framework, the common factor in regional house prices dynamics is explained by exogenous predictors and the spatial dependencies are captured by lagged house prices in other regions. For the purpose of estimation and variable selection under high-dimensional setting the concept of Penalized Least Squares (PLS) with different penalty functions (e.g. LASSO penalty) is studied in detail and implemented. Moreover, clustering methods are employed to identify subsets of statistical regions with similar house prices dynamics. It is demonstrated that these clusters are well geographically defined and contribute to a better interpretation of the VAR model. Next, we make use of the LASSO variable selection property in order to construct the impulse response functions and to simulate the prices behavior when a shock occurs. And last but not least, one-period-ahead forecasts from VAR model are compared to those from the Diffusion Index Factor Model by \cite{stock02}, a commonly used model for forecasts.
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Kondapalli, Swetha. "An Approach To Cluster And Benchmark Regional Emergency Medical Service Agencies." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1596491788206805.

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Books on the topic "Regional clustering"

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Value chain clustering in regional publishing services markets. Altona, Vic: Common Ground Pub., 2002.

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Chakravorty, Sanjoy. Clusters and Regional Development. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.124.

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Industrial clusters have existed since the early days of industrialization. Clusters exist because of the fact (or perception) that competing firms in the same industry derive some benefit from locating in proximity to each other. These benefits are external to the firm and accrue to similar firms in proximity. Examples include the cotton mills of Lancashire, automobile manufacturing in Detroit, and information technology firms in Silicon Valley. At the firm level, the presence of firms in the same industry, which are located in proximity (in the same region), are expected to increase internal productivity. At the industry level, it is possible to see quantifiable localized benefits of clustering which accrue to all firms in a given industry or in a set of interrelated industries. The sources of this productivity increase in regions where an industry is more spatially concentrated: knowledge spillovers, dense buyer–supplier networks, access to a specialized labor pool, and opportunities for efficient subcontracting. At the metropolitan area level, productivity increases from access to specialized financial and professional services, availability of a large labor pool with multiple specializations, inter-industry information transfers, and the availability of less costly general infrastructure. At the interregional scale, these gains are expected to lead to industry concentration in metropolitan and other leading urban regions. To obtain a complete picture of clustering, one must also consider its absence. If manufacturing and service clusters are associated with regional economic growth, the absence of productive clusters suggests the absence of growth and lagging regions.
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Mongkhonvanit, Jomphong. Coopetition for Regional Competitiveness: The Role of Academe in Knowledge-Based Industrial Clustering. Springer, 2014.

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Mongkhonvanit, Jomphong. Coopetition for Regional Competitiveness: The Role of Academe in Knowledge-Based Industrial Clustering. Springer, 2014.

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Christ, Julian Phillip. Innovative Places in Europe: Research Clustering, Co-Patenting Networks and the Growth of Regions. Lang Publishing, Incorporated, Peter, 2012.

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Constantakopoulou, Christy. Proxenies, Statues, Crowns. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198787273.003.0004.

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This chapter examines the extensive Delian epigraphic record (proxeny and other honorific decrees, references to crowns and other honours as these appear in the Delian accounts), in order to reconstruct the Delian network of honours. The focus is proxeny decrees, because of their significantly large number. The chapter discusses the issues of audience and purpose of publication of decrees. Using the ethnic names of the honorands as the basis of the study, it shows that the network of honours was geographically immense, with the southern Aegean as the primary region of local interaction, and with specific clustering beyond this primary region. This character of the network may be related to Delos’ insularity, on one hand, and the presence of a large regional sanctuary, on the other.
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Constantakopoulou, Christy. Conclusions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198787273.003.0006.

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This chapter provides a summary of the previous case studies. It discusses the four networks examined over the course of the book,. The first case study explores the history of the Islanders’ League. It proposes that the League is the expression of a strong regional island identity. The second case study focuses on the history of monumentalization of Delos. By exploring the different funding sources for building activity on Delos, it shows the active engagement of the Delian community, the Hellenistic kings, and other non-royal individuals in the monumentalization processes. The third case study examines the Delian network of honours which was geographically immense, with the southern Aegean as the primary region of local interaction, and with specific clustering beyond this primary region. The fourth case study focuses on the evidence of the Delian inventories in order to reconstruct the social dynamics of dedication.
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Benestad, Rasmus. Climate in the Barents Region. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.655.

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The Barents Sea is a region of the Arctic Ocean named after one of its first known explorers (1594–1597), Willem Barentsz from the Netherlands, although there are accounts of earlier explorations: the Norwegian seafarer Ottar rounded the northern tip of Europe and explored the Barents and White Seas between 870 and 890 ce, a journey followed by a number of Norsemen; Pomors hunted seals and walruses in the region; and Novgorodian merchants engaged in the fur trade. These seafarers were probably the first to accumulate knowledge about the nature of sea ice in the Barents region; however, scientific expeditions and the exploration of the climate of the region had to wait until the invention and employment of scientific instruments such as the thermometer and barometer. Most of the early exploration involved mapping the land and the sea ice and making geographical observations. There were also many unsuccessful attempts to use the Northeast Passage to reach the Bering Strait. The first scientific expeditions involved F. P. Litke (1821±1824), P. K. Pakhtusov (1834±1835), A. K. Tsivol’ka (1837±1839), and Henrik Mohn (1876–1878), who recorded oceanographic, ice, and meteorological conditions.The scientific study of the Barents region and its climate has been spearheaded by a number of campaigns. There were four generations of the International Polar Year (IPY): 1882–1883, 1932–1933, 1957–1958, and 2007–2008. A British polar campaign was launched in July 1945 with Antarctic operations administered by the Colonial Office, renamed as the Falkland Islands Dependencies Survey (FIDS); it included a scientific bureau by 1950. It was rebranded as the British Antarctic Survey (BAS) in 1962 (British Antarctic Survey History leaflet). While BAS had its initial emphasis on the Antarctic, it has also been involved in science projects in the Barents region. The most dedicated mission to the Arctic and the Barents region has been the Arctic Monitoring and Assessment Programme (AMAP), which has commissioned a series of reports on the Arctic climate: the Arctic Climate Impact Assessment (ACIA) report, the Snow Water Ice and Permafrost in the Arctic (SWIPA) report, and the Adaptive Actions in a Changing Arctic (AACA) report.The climate of the Barents Sea is strongly influenced by the warm waters from the Norwegian current bringing heat from the subtropical North Atlantic. The region is 10°C–15°C warmer than the average temperature on the same latitude, and a large part of the Barents Sea is open water even in winter. It is roughly bounded by the Svalbard archipelago, northern Fennoscandia, the Kanin Peninsula, Kolguyev Island, Novaya Zemlya, and Franz Josef Land, and is a shallow ocean basin which constrains physical processes such as currents and convection. To the west, the Greenland Sea forms a buffer region with some of the strongest temperature gradients on earth between Iceland and Greenland. The combination of a strong temperature gradient and westerlies influences air pressure, wind patterns, and storm tracks. The strong temperature contrast between sea ice and open water in the northern part sets the stage for polar lows, as well as heat and moisture exchange between ocean and atmosphere. Glaciers on the Arctic islands generate icebergs, which may drift in the Barents Sea subject to wind and ocean currents.The land encircling the Barents Sea includes regions with permafrost and tundra. Precipitation comes mainly from synoptic storms and weather fronts; it falls as snow in the winter and rain in the summer. The land area is snow-covered in winter, and rivers in the region drain the rainwater and meltwater into the Barents Sea. Pronounced natural variations in the seasonal weather statistics can be linked to variations in the polar jet stream and Rossby waves, which result in a clustering of storm activity, blocking high-pressure systems. The Barents region is subject to rapid climate change due to a “polar amplification,” and observations from Svalbard suggest that the past warming trend ranks among the strongest recorded on earth. The regional change is reinforced by a number of feedback effects, such as receding sea-ice cover and influx of mild moist air from the south.
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Radović, Milan, and Adalbert Schiller. Balkan endemic nephropathy. Edited by Adrian Covic. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0090_update_001.

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Balkan endemic nephropathy (BEN) is a chronic, slowly progressive tubulointerstitial nephritis, with familial clustering, occurring in several endemic rural regions in countries of the Balkan Peninsula. BEN is characterized by anaemia, tubular proteinuria, renal shrinkage, and slowly declining glomerular filtration rate (GFR). Up to one-third of patients may also develop upper urothelial tumours. The aetiology of BEN is unclear; chronic exposure to aristolochic acid and a polygenic predisposition are the most likely contributing factors. The major pathological characteristics of BEN are symmetrically shrunken, smooth-shaped kidneys, with interstitial fibrosis, mild interstitial inflammation, and tubular atrophy. Diagnosis is usually based upon positive family history of BEN, past or current residence in endemic regions, tubular proteinuria, tubular dysfunctions (such as urine acidification defects, salt wasting, and impaired excretion of ammonia, uric acid, and phosphate), scant urinary sediment, bilateral and symmetrically reduced kidney size, accompanied by severe anaemia, disproportionate to the degree of GFR reduction. There is no specific therapy for BEN; patients should therefore be treated as all patients with chronic kidney disease, in general. The use of distant water supplies or moving to another residence area should be advised to affected families. Careful evaluation for urothelial cancers is mandatory in patients with haematuria.
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Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry and wet events are regulated by the boreal summer ISO (BSISO). The BSISO over Indian monsoon region consists of northward propagating 30–60 day and westward propagating 10–20 day modes. The “clustering” of synoptic activity was separately modulated by both the 30–60 day and 10–20 day BSISO modes in approximately equal amounts. The clustering is particularly strong when the enhancement effect from both modes acts in concert. The northward propagation of BSISO is primarily originated from the easterly vertical shear (increasing easterly winds with height) of the monsoon flows, which by interacting with the BSISO convective system can generate boundary layer convergence to the north of the convective system that promotes its northward movement. The BSISO-ocean interaction through wind-evaporation feedback and cloud-radiation feedback can also contribute to the northward propagation of BSISO from the equator. The 10–20 day oscillation is primarily produced by convectively coupled Rossby waves modified by the monsoon mean flows. Using coupled general circulation models (GCMs) for ISO prediction is an important advance in subseasonal forecasts. The major modes of ISO over Indian monsoon region are potentially predictable up to 40–45 days as estimated by multiple GCM ensemble hindcast experiments. The current dynamical models’ prediction skills for the large initial amplitude cases are approximately 20–25 days, but the prediction of developing BSISO disturbance is much more difficult than the prediction of the mature BSISO disturbances. This article provides a synthesis of our current knowledge on the observed spatial and temporal structure of the ISO over India and the important physical processes through which the BSISO regulates the ISM active-break cycles and severe weather events. Our present capability and shortcomings in simulating and predicting the monsoon ISO and outstanding issues are also discussed.
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Book chapters on the topic "Regional clustering"

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Markowska, Małgorzata, Andrzej Sokołowski, and Danuta Strahl. "Three-Way Clustering Clustering Problems in Regional Science." In Analysis of Large and Complex Data, 545–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25226-1_46.

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Boschma, Ron A., and Robert C. Kloosterman. "Clustering, Learning and Regional Development." In The GeoJournal Library, 1–15. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3679-5_1.

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Waller, Lance A. "Spatial Clustering and Autocorrelation of Health Events." In Handbook of Regional Science, 1–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-642-36203-3_80-1.

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Jacquez, Geoffrey. "Spatial Clustering and Autocorrelation in Health Events." In Handbook of Regional Science, 1311–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-23430-9_80.

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Waller, Lance A. "Spatial Clustering and Autocorrelation of Health Events." In Handbook of Regional Science, 2035–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-60723-7_80.

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Pachura, Piotr. "Clustering and Networking in Regional Policy." In Contributions to Economics, 7–31. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2364-6_2.

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Voyer, Roger. "Knowledge-Based Industrial Clustering: International Comparisons." In Local and Regional Systems of Innovation, 81–110. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5551-3_5.

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Cleave, Evan, Godwin Arku, and Megan Easton. "Spatial Analysis and Evidence-Based Economic Development Planning: A Case Study on Manufacturing Clustering in Southern Ontario." In Regional Intelligence, 121–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36479-3_7.

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Tango, Toshiro. "General Tests for Spatial Clustering: Regional Count Data." In Statistics for Biology and Health, 71–111. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1572-6_5.

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Pachura, Piotr. "Regional Clustering Based on Efficiency and Networking Models." In Contributions to Economics, 65–115. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2364-6_5.

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Conference papers on the topic "Regional clustering"

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Holloway, Hillary, and Brian Bank. "Clustering Activities Using Regional Reasoning." In Infotech@Aerospace. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7020.

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Shi, Yong. "Inter-dimensional fuzzy clustering." In the 48th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1900008.1900127.

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Shi, Yong. "Obstacle clustering and outlier detection." In the 48th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1900008.1900126.

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Ma, Gang, Hongxin Li, and Kun Luo. "Application of clustering in regional economy." In the 7th international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1089551.1089563.

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Popa, A., M. Hao, S. D. Cassidy, A. Cover, D. Shepherd, and S. Jikich. "Clustering-Based Optimal Perforation Design Using Well Logs." In SPE Eastern Regional Meeting. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/177282-ms.

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Shah, Najaf Ali, and Ehab M. ElBahesh. "Topic-based clustering of news articles." In the 42nd annual Southeast regional conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/986537.986639.

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Li, Cen, and Jungsoon Yoo. "Modeling student online learning using clustering." In the 44th annual southeast regional conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1185448.1185490.

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Moh, Teng-Sheng, and Ameya Sabnis. "Applying hybrid Kepso clustering to web pages." In the 48th Annual Southeast Regional Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1900008.1900027.

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Al-Otaiby, Turky N., and Mohsen AlSharif. "Software requirements modularization using partitioning clustering technique." In the 45th annual southeast regional conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1233341.1233354.

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Salvi, Giampiero. "Advances in regional accent clustering in Swedish." In Interspeech 2005. ISCA: ISCA, 2005. http://dx.doi.org/10.21437/interspeech.2005-719.

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Reports on the topic "Regional clustering"

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Bush, B., M. Melaina, M. Penev, and W. Daniel. SERA Scenarios of Early Market Fuel Cell Electric Vehicle Introductions: Modeling Framework, Regional Markets, and Station Clustering. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1330991.

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