scholarly journals An Exploratory Analysis in Mapping of Asthma Risk in Western Australia

2018 ◽  
Vol 50 (1) ◽  
pp. 97
Author(s):  
Hendra Kurnia Febriawan ◽  
Carla Maria Da Silva Sodre
Keyword(s):  
Spatial Analysis ◽  
Spatial Pattern ◽  
Western Australia ◽  
Exploratory Analysis ◽  
Annual Rainfall ◽  
Asthma Prevalence ◽  
Low Level ◽  
Asthma Risk ◽  
Confirmatory Analysis ◽  
High Level

Exploratory Analysis as one of the spatial analysis tools that has been used widely in many study fields. This tool is usually intended to obtain the spatial pattern to observe and get relationship between study variables. The exploratory analysis is usually followed by the confirmatory analysis to exhibit the hypothesis that already obtain in the exploratory analysis. This study is aimed to investigate the prevalence of asthma in Western Australia since there are many factors that cause the asthma dispersion.  Many provided variables have been tested to get the best correlation with the asthma percentage variable and four variables (humidity, annual rainfall, EVI and SEIFA) were chosen and tested with high asthma percentage variable. The result of confirmatory analysis indicates that the high level of humidity and low level of SEIFA confirm with the hypothesis and means that those factors can contribute significantly in Asthma prevalence in Western Australia.

The status of non-volant mammals along a rainfall gradient in the south-west Kimberley, Western Australia

2012 ◽  
Vol 34 (1) ◽  
pp. 36 ◽  
Author(s):  
A. N. Start ◽  
A. A. Burbidge ◽  
M. C. McDowell ◽  
N. L. McKenzie
Keyword(s):  
Western Australia ◽  
Common Species ◽  
Current Status ◽  
Annual Rainfall ◽  
Mammal Species ◽  
Rainfall Gradient ◽  
Terrestrial Mammals ◽  
South West ◽  
The Status ◽  
High Level

To assess the current status of mammals in relation to mean annual rainfall and to improve knowledge of the original mammalian assemblages in tropical Western Australia, extant terrestrial mammals and subfossil mammalian remains were sought along a rainfall gradient in two parallel ranges in the Kimberley, Western Australia. As expected, extant mammal species richness decreased with decreasing rainfall. Data from other studies in higher-rainfall areas complemented this conclusion and a parallel decline in trap success implied an overall decline in abundance, although numbers of two rodents (Rattus tunneyi and Zyzomys argurus) were highly variable. Small rodents were rare. Subfossil deposits were biased by accumulation processes, with most attributable to tytonid owls. They largely consisted of rodent and, to a lesser extent, small dasyurid bones and there was a high level of consistency in the proportional composition of many common species across the rainfall gradient. Most deposits appear to predate the introduction of stock in the 1880s and some may be much older. All species persist in the study area except two Notomys spp. and three Pseudomys spp. Both the Notomys and one Pseudomys are apparently undescribed, extinct species. However, there were marked ratio differences between subfossil and modern assemblages. Although specimens of species larger than those taken by tytonid owls were scarce, their occurrences were broadly consistent with the modern understanding of distributions.

scholarly journals Spatial unevenness of innovative and technological development of the territories of the Russian Federation

2021 ◽  
Vol 301 ◽  
pp. 01001
Author(s):  
Olga Smirnova ◽  
Lyudmila Сhesnyukova
Keyword(s):  
Spatial Analysis ◽  
Russian Federation ◽  
Technological Development ◽  
Federal District ◽  
Downward Trend ◽  
Upward Trend ◽  
Low Level ◽  
Federal Districts ◽  
The Russian Federation ◽  
High Level

The study covers the topical aspects of the innovative and technological development of the Russian Federation from the standpoint of territorial unevenness. A quantitative and qualitative analysis of the factors of innovative and technological development of the federal districts of Russia has been carried out, the specificity of regional development has been investigated. The spatial analysis of the territories made it possible to conclude that there is a significant territorial concentration and differentiation in terms of innovative activity indicators. The paper shows a significant territorial disparity in the distribution of developed advanced production technologies. The structure of R&D organizations has been displayed, it has been noted that the bulk of the organizations is concentrated in the Central Federal District of the Russian Federation. A spatial analysis of the territories of the Russian Federation from the standpoint of the innovative and technological potential made it possible to distinguish territories by the type of innovative development: 1) territories with a high level and an upward trend of innovative and technological development; 2) territories with a high level and a downward trend of innovative and technological development; 3) territories with a low level and an upward trend of innovative and technological development; 4) territories with a low level and a downward trend of innovative and technological development.

scholarly journals Spatial differences and pattern evolution of Multi-scale Urban Land between China and India

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Qinke Sun ◽  
Liang Zhou ◽  
Xuewei Dang ◽  
Bowei Hu ◽  
Haowei Mu
Keyword(s):  
Urban Development ◽  
Spatial Pattern ◽  
Regional Development ◽  
Urban Expansion ◽  
Urban Land ◽  
Expansion Rate ◽  
Low Level ◽  
Multi Scale ◽  
China And India ◽  
High Level

<p><strong>Abstract.</strong> “The dragon and the elephant” between China and India is an important manifestation of global multipolarization in the 21st century. As an engine of global economic growth, China and India have similar development processes, different development models as well as differences in urban development, which have attracted widespread attention from scholars. Based on the 1992&amp;ndash;2012 consecutive annual nighttime lighting data (DMSP-OLS), this paper uses the Gini coefficient, the Getis-Ord Gi* index and the Compounded Night Light Index (CNLI) to conduct a multi-scale comparative analysis of the differences in urban development between China and India from the perspective of geospatial. The results show that: (1) The space of urban land in the two countries expanded rapidly, with an average annual expansion rate of 5.24% and 3.85% respectively. China's urban land expansion rate is 1.36 times that of India. Among them, the arid resource towns in northwest China and the resource towns in central India have recently developed rapidly. (2) India’s imbalance in development is more prominent than China’s. China's regional and provincial imbalances are narrowing, while the regional differences in India are gradually widening. (3) The spatial pattern of land use in both countries shows a certain degree of coastal and inland differences. The main spatial pattern of China's regional development is the difference between East-Central-West, while the spatial pattern of regional development in India is North-South difference. (4) The strength of the expansion of the core cities of the two countries is quite different. From 1997 to 2007, China's core urban expansion intensity remained at a relatively high level while India was at a relatively low level. But from 2007 to 2012, India's core cities expanded at a relatively high level while China was at a relatively low level.</p>

scholarly journals MARINE ENVIRONMENTAL VULNERABILITY OF EACH PROVINCE IN INDONESIA

2012 ◽  
Vol 4 (1) ◽  
Author(s):  
Adi Wibowo
Keyword(s):  
Spatial Analysis ◽  
Population Growth ◽  
Spatial Pattern ◽  
Problem Statement ◽  
Tropical Island ◽  
Coast Line ◽  
Environmental Vulnerability ◽  
High Level ◽  
Marine Environmental ◽  
Very High

Interaction between mainland and ocean are not balance. That means condition in mainland will higher affect the ocean, but not vice versa. Indonesia as a tropical island country has very long beaches and many rivers flow into the sea. The increased population in each province will have an impact on increasing contaminant into the river, so those are will cause the contaminant into the sea increasing. The problem statement is at what level of the marine environmental vulnerability in each province? Using methods of spatial analysis those find the spatial pattern of the marine environmental vulnerabilities in Indonesia. Level of the marine environmental vulnerability is generated based on numbers of regency along the coast line, including the total of population and population growth in each province and the number of rivers along the coast line. Conclusion in this research is province with the very high level of the marine environmental vulnerability is eleventh provinces, fifteenth provinces with high level, five provinces with moderate level, and two provinces with the lowest level. The province with very high level is caused by variation combination from the high number of regency along the coast line, including the highest number of population and population growth and the highest number of river. Such conditions may cause high vulnerability in some provinces such as Nanggroe Aceh Darusallam, Bangka Belitung, Kepulauan Riau, Banten, Bali, Nusa Tenggara Barat, Nusa Tenggara Timur, Sulawesi Utara, Sulawesi Tengah and Sulawesi Tenggara.Keywords: Vulnerability, marine environmental, spatial analysis

scholarly journals MARINE ENVIRONMENTAL VULNERABILITY OF EACH PROVINCE IN INDONESIA

2012 ◽  
Vol 4 (1) ◽  
Author(s):  
Adi Wibowo
Keyword(s):  
Spatial Analysis ◽  
Population Growth ◽  
Spatial Pattern ◽  
Problem Statement ◽  
Tropical Island ◽  
Coast Line ◽  
Environmental Vulnerability ◽  
High Level ◽  
Marine Environmental ◽  
Very High

<p>Interaction between mainland and ocean are not balance. That means condition in mainland will higher affect the ocean, but not vice versa. Indonesia as a tropical island country has very long beaches and many rivers flow into the sea. The increased population in each province will have an impact on increasing contaminant into the river, so those are will cause the contaminant into the sea increasing. The problem statement is at what level of the marine environmental vulnerability in each province? Using methods of spatial analysis those find the spatial pattern of the marine environmental vulnerabilities in Indonesia. Level of the marine environmental vulnerability is generated based on numbers of regency along the coast line, including the total of population and population growth in each province and the number of rivers along the coast line. Conclusion in this research is province with the very high level of the marine environmental vulnerability is eleventh provinces, fifteenth provinces with high level, five provinces with moderate level, and two provinces with the lowest level. The province with very high level is caused by variation combination from the high number of regency along the coast line, including the highest number of population and population growth and the highest number of river. Such conditions may cause high vulnerability in some provinces such as Nanggroe Aceh Darusallam, Bangka Belitung, Kepulauan Riau, Banten, Bali, Nusa Tenggara Barat, Nusa Tenggara Timur, Sulawesi Utara, Sulawesi Tengah and Sulawesi Tenggara.</p><p>Keywords: Vulnerability, marine environmental, spatial analysis</p>

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

Difusi dan Pola Spasial Sebaran Penyakit Demam Berdarah Dengue (DBD) Di Kota Bandar Lampung

2018 ◽  
Vol 1 (1) ◽  
pp. 87-95
Author(s):  
Nurul Qamila ◽  
Agel Vidian Krama
Keyword(s):  
Public Health ◽  
Spatial Analysis ◽  
Aedes Aegypti ◽  
Dengue Virus ◽  
Spatial Pattern ◽  
Dengue Hemorrhagic Fever ◽  
Health Problem ◽  
Public Health Problem ◽  
Hemorrhagic Fever ◽  
Descriptive Method

Dengue hemorrhagic fever (DHF) is a contagious disease caused by the dengue virus and is transmitted by the mosquito Aedes aegypti (Aa.aegypti). The population is still a public health problem that increases the number of sufferers and also widespread, with population and education. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the spatial pattern and the spread of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. This study aims to reveal the spatial pattern and distribution of Dengue Hemorrhagic Fever (DHF) with the descriptive method and spatial pattern of Dengue Hemorrhagic Fever (DHF) can result in different locations of these allegations. From the map that can be used for the prevention of Dengue Hemorrhagic Fever (DBD) in Bandar Lampung City. Keywords: DHF, Spatial Analysis

Determinants of Abuse of the Bodies of the Dead

2019 ◽  
pp. 71-77
Author(s):  
Margarita Khomyakova
Keyword(s):  
Low Income ◽  
Criminal Code ◽  
Value Judgments ◽  
Legal Norms ◽  
Low Level ◽  
Medical Institutions ◽  
Specific Object ◽  
The Subject ◽  
The Dead ◽  
High Level

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.

scholarly journals EXPRESS: Marketers Project Their Personal Preferences onto Consumers: Overcoming the Threat of Egocentric Decision Making

2021 ◽  
pp. 002224372199837
Author(s):  
Walter Herzog ◽  
Johannes D. Hattula ◽  
Darren W. Dahl
Keyword(s):  
Decision Making ◽  
Consumer Preferences ◽  
Research Question ◽  
Pilot Studies ◽  
Low Level ◽  
Marketing Managers ◽  
False Consensus Effect ◽  
False Consensus ◽  
High Level

This research explores how marketing managers can avoid the so-called false consensus effect—the egocentric tendency to project personal preferences onto consumers. Two pilot studies were conducted to provide evidence for the managerial importance of this research question and to explore how marketing managers attempt to avoid false consensus effects in practice. The results suggest that the debiasing tactic most frequently used by marketers is to suppress their personal preferences when predicting consumer preferences. Four subsequent studies show that, ironically, this debiasing tactic can backfire and increase managers’ susceptibility to the false consensus effect. Specifically, the results suggest that these backfire effects are most likely to occur for managers with a low level of preference certainty. In contrast, the results imply that preference suppression does not backfire but instead decreases false consensus effects for managers with a high level of preference certainty. Finally, the studies explore the mechanism behind these results and show how managers can ultimately avoid false consensus effects—regardless of their level of preference certainty and without risking backfire effects.

Exploring The Effect of Visual Information Degradation on Human Perception and Performance In A Human-Telerobot System

2020 ◽  
Vol 64 (1) ◽  
pp. 1302-1307
Author(s):  
Richard Stone ◽  
Minglu Wang ◽  
Thomas Schnieders ◽  
Esraa Abdelall
Keyword(s):  
Visual Information ◽  
Human Perception ◽  
Low Level ◽  
Hit Rate ◽  
Word Level ◽  
Level Of Automation ◽  
Significant Difference ◽  
Human Operators ◽  
And Performance ◽  
High Level

Human-robotic interaction system are increasingly becoming integrated into industrial, commercial and emergency service agencies. It is critical that human operators understand and trust automation when these systems support and even make important decisions. The following study focused on human-in-loop telerobotic system performing a reconnaissance operation. Twenty-four subjects were divided into groups based on level of automation (Low-Level Automation (LLA), and High-Level Automation (HLA)). Results indicated a significant difference between low and high word level of control in hit rate when permanent error occurred. In the LLA group, the type of error had a significant effect on the hit rate. In general, the high level of automation was better than the low level of automation, especially if it was more reliable, suggesting that subjects in the HLA group could rely on the automatic implementation to perform the task more effectively and more accurately.

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