spatial cluster analysis
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2021 ◽  
Vol 13 (24) ◽  
pp. 13570
Author(s):  
Yuan Shen ◽  
Danyin Wang ◽  
Jiahui Wu ◽  
Tianshu Yu ◽  
Tao Li ◽  
...  

Eco-environmental variability was the basis of ethnic diversity with a persistent influence on the regional development. The unique geographic conditions and multi-ethnic characteristics in southwest China were valuable for exploring sustainable development of ethnic regions. In this study, the regional features of distribution areas of ethnic groups in southwest China were analysed, and it was found that average altitude, slope, water coverage and water form ratio of each ethnic group differed apparently. Additionally, regional features of southern minorities were relatively stable, while those of northern minorities changed evidently from 1990 to 2010. Furthermore, taking the spatial coordinates and regional features as parameters, fifty-eight ethnic groups were clustered into six categories via spatial cluster analysis. Moreover, based on the county-level population data, the ethnic similarities in southwest China were identified by correlation analysis, and the results were in accordance with those of spatial cluster analysis but more detailed. In addition, the eco-environmental adaptability of various ethnic groups was discussed in terms of living and production as well as regional sustainable development. This research was of referential meaning for population settlement, natural resources utilization and biodiversity conservation in multi-ethnic regions.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260299
Author(s):  
Tuvshinzaya Zorigt ◽  
Satoshi Ito ◽  
Norikazu Isoda ◽  
Yoshikazu Furuta ◽  
Misheck Shawa ◽  
...  

Anthrax is a worldwide zoonotic disease. Anthrax has long been a public health and socio-economic issue in Mongolia. Presently, there is no spatial information on carcass burial sites as a potential hazard of future anthrax outbreaks and possible risk factors associated with anthrax occurrences in Mongolia. Here, we analyze retrospective data (1986–2015) on the disposal sites of livestock carcasses to describe historical spatio-temporal patterns of livestock anthrax in Khuvsgul Province, which showed the highest anthrax incidence rate in Mongolia. From the results of spatial mean and standard deviational ellipse analyses, we found that the anthrax spatial distribution in livestock did not change over the study period, indicating a localized source of exposure. The multi-distance spatial cluster analysis showed that carcass sites distributed in the study area are clustered. Using kernel density estimation analysis on carcass sites, we identified two anthrax hotspots in low-lying areas around the south and north regions. Notably, this study disclosed a new hotspot in the northern part that emerged in the last decade of the 30-year study period. The highest proportion of cases was recorded in cattle, whose prevalence per area was highest in six districts (i.e., Murun, Chandmani-Undur, Khatgal, Ikh-Uul, Tosontsengel, and Tsagaan-Uul), suggesting that vaccination should prioritize cattle in these districts. Furthermore, size of outbreaks was influenced by the annual summer mean air temperature of Khuvsgul Province, probably by affecting the permafrost freeze-thawing activity.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Natália Martins Feitosa ◽  
Bruno da Costa Rodrigues ◽  
Ana Cristina Petry ◽  
Keity Jaqueline Chagas Vilela Nocchi ◽  
Rodrigo de Moraes Brindeiro ◽  
...  

AbstractThe Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. In 2020 between the 17th and 38th epidemiological week, over two percent of the 206,728 citizens were subjected to symptom analysis and RT-qPCR testing by the Federal University of Rio de Janeiro, with positive individuals being notified up to 48 h after swab collection. Geocodification and spatial cluster analysis were used to limit COVID-19 spreading in Macaé. Within the first semester after the outbreak of COVID-19 in Brazil, Macaé recorded 1.8% of fatalities associated with COVID-19 up to the 38th epidemiological week, which was at least five times lower than the state capital (10.6%). Overall, considering the successful experience of this joint effort of private and public engagement in Macaé, our data suggest that the development of a similar strategy countrywise could have contributed to a better control of the COVID-19 spread in Brazil. Quarantine decree by the local administration, comprehensive molecular testing coupled to scientific analysis of COVID-19 spreading, prevented the catastrophic consequences of the pandemic as seen in other populous cities within the state of Rio de Janeiro and elsewhere in Brazil.


2021 ◽  
Vol 20 (1) ◽  
pp. 104-113
Author(s):  
Alfita Puspa Handayani ◽  
Albertus Deliar ◽  
Rizqi Abdulharis

 Sustainable development goals are expected to be achieved by 2030. One of the goals of sustainable development is tobuild cities and settlements that are inclusive, safe, and resilient. Bandung as one of the cities with very rapid development growth during the last 10 years has experienced changes in land prices, which are also very fast. Land prices are proven to have a relationship with development in an area. The more complete public facilities, social facilities, and accesses in an area, the higher the price is. This study has determined the spatial pattern of land prices in Bandung using four spatial cluster analysis methods. It is found that the spatial pattern of land prices in Indonesia is clustered. The results of this spatial pattern can be used as the basis for strategic planning for Bandung, especially to serve areas that can still be developed into new development centers supported by environmental planning and sustainable development.


2021 ◽  
Vol 1 (5) ◽  
Author(s):  
Raid W. Amin ◽  
Bradly Rivera-Muñiz ◽  
Rodney P. Guttmann

AbstractThis study's main goal was to develop a comprehensive Quality of Life (QoL) Index based on 31 demographic variables for the 3108 counties in the contiguous USA. Counties were ranked worst in QoL to best, and spatial cluster analysis is used to identify counties with significant low/high QoL clusters. GIS-based mapping was used to create informative heat maps with significant clusters shown. The rate of African Americans, diversity in a race within counties, and upward mobility were studied in a regression analysis in which QoL was predicted from these three covariates. The QoL Index was adjusted for the covariates, and a new spatial heat map with clusters is obtained. It was concluded that as the rate of African Americans increases in a county, the QoL decreases, while the QoL increases when diversity or upward mobility increases.


2021 ◽  
Author(s):  
Natália Martins Feitosa ◽  
Bruno da Costa Rodrigues ◽  
Ana Cristina Petry ◽  
Keity Jaqueline Chagas Vilela Nocchi ◽  
Rodrigo de Moraes Brindeiro ◽  
...  

Abstract Background Brazilian strategy to overcome the spread of COVID-19 has been particularly criticized due to the lack of a national coordinating effort and an appropriate testing program. Here, a successful approach to control the spread of COVID-19 transmission is described by the engagement of public (university and governance) and private sectors (hospitals and oil companies) in Macaé, state of Rio de Janeiro, Brazil, a city known as the National Oil Capital. Methods Until the 38th epidemiological week, over two percent of the 206,728 citizens were subjected to symptom analysis and massive RT-qPCR testing by the Federal University of Rio de Janeiro, with positive individuals being notified up to 48 hours after swab collection. Geocodification and spatial cluster analysis were used to limit COVID-19 spreading in Macaé. Findings: Within the first semester after the outbreak of COVID-19 in Brazil, Macaé recorded 1.8% of fatality associated to COVID-19 up to the 38th epidemiological week, which was at least five times lower than the state capital (10.92%). Overall, considering the successful experience of this joint effort of private and public engagement in Macaé, our data suggest that the development of a similar strategy country wise would have saved over 50,000 lives. Interpretation: Quarantine decree by the local government, molecular massive testing coupled to scientific analysis of COVID-19 spreading prevented the catastrophic consequences of the pandemic as seen in other populous cities within the state of Rio de Janeiro and elsewhere in Brazil.


2020 ◽  
Vol 11 (3) ◽  
pp. 383-393
Author(s):  
Christia Meidiana ◽  
◽  
Zhuniart Ayu Perdanasari ◽  
Dian Dinanti

The potentials of energy from manure waste was calculated in this study aiming to develop biogas utilization in a rural area. The calculation was conducted based on the result from clustering the non-biogas farmer households which cannot afford individual anaerobic digester (AD). Spatial cluster analysis (SCA) and superimposed technique were used to determine the size of the groups and the location of ADs respectively. Value from SCA showed that the village’s settlement pattern is clustered feasible to apply communal AD for rural biogas development. Meanwhile, a superimposed technique using 3 parameters which are land availability, cow ownership, and topography, generates 43 clusters of farmer households that can supply biogas for cooking. The energy production is estimated at 8.96-39.68 m3/day/household, while the energy demand is approximately 0.65-3.48 m3/day/household. The calculation shows that there is remaining biogas that can be distributed to non-biogas farmer households. Using SCA, 75 non-biogas farmer households were identified to be potentially supplied by biogas. The total energy demand for both biogas and non-biogas farmers households is 2,147.34 MJ/day, while the total potential energy generation from all ADs is 24,560.64 MJ/day indicating a low biogas utilization rate which is only 8.7%. The percentage shows that biogas utilization for an energy source in Dusun Dresel can be more developed by enhancing the distribution network or by converting it into electricity to support rural energy security.


Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1132
Author(s):  
Deting Kong ◽  
Yuan Wang ◽  
Xinyan Wu ◽  
Xiyu Liu ◽  
Jianhua Qu ◽  
...  

In this paper, we propose a novel clustering approach based on P systems and grid- density strategy. We present grid-density based approach for clustering high dimensional data, which first projects the data patterns on a two-dimensional space to overcome the curse of dimensionality problem. Then, through meshing the plane with grid lines and deleting sparse grids, clusters are found out. In particular, we present weighted spiking neural P systems with anti-spikes and astrocyte (WSNPA2 in short) to implement grid-density based approach in parallel. Each neuron in weighted SN P system contains a spike, which can be expressed by a computable real number. Spikes and anti-spikes are inspired by neurons communicating through excitatory and inhibitory impulses. Astrocytes have excitatory and inhibitory influence on synapses. Experimental results on multiple real-world datasets demonstrate the effectiveness and efficiency of our approach.


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