Influence Of Geographical Factors Research Articles

PENGARUH FAKTOR GEOGRAFIS TERHADAP POTENSI GAGAL PANEN JAGUNG DI KECAMATAN INSANA TENGAH KABUPATEN TIMOR TENGAH UTARA TAHUN 2020

In 2020 corn production in TTU Regency experienced a decrease in corn productivity by 21.91 percent from 2019 corn production of 46,621 tons to 36,406, one of which is Central Insana District. This study aims to: (1) Identify the geographical and non-geographical factors that influence the potential for maize crop failure in Insana Tengah Subdistrict, (2) Identify the efforts made by the people of Insana Tengah in dealing with maize crop failure. This research is a quantitative research with descriptive method with variable X in the form of geographical factors namely rainfall, sunshine, slope while variable Y is potential corn crop failure. The study population was 895 farmers with a sample of 90 farmers from 7 villages in Insana Tengah sub-district determined using the Slovin formula with an error rate of 10%. Data sources consisted of primary and secondary data collected by observation, documentation, and questionnaires. The analysis method uses descriptive analysis, multiple correlation, with Microsoft Excel, and SPSS software. The results showed that: (1) Geographical factors in the form of slope have a higher influence than the intensity of rainfall, the intensity of solar irradiation, has an influence of 0.638 while, the intensity of rainfall, the intensity of solar irradiation 0.287 and 0.294. (2) Efforts made by the community are in the form of non-geographical factors, in dealing with pest attacks on corn plants the community does by means of technical culture control, namely by managing planting media, cleaning weeds, and providing fertilizers that are not excessive. Then chemical control is done by using active insecticides. Based on the results of the study, it is concluded that geographical factors in the form of rainfall intensity, sunlight intensity, and slope have an influence on corn crop failure. The influence of geographical factors in the form of rainfall intensity, sunlight intensity, and slope on corn crop failure in Insana Tengah Subdistrict using multiple correlation analysis obtained a result of 0.759 which shows that the factors of rainfall intensity, sunlight intensity, and slope, have an influence of 76% on corn crop failure, while 24% is influenced by other factors.

The Influence of Geographical Factors on Polyploidy in Angiosperms with Cartographic Evidence from the Northwestern Himalayas: A Review

The review paper comprised the impact of geographical and environmental factors on polyploidy and vice versa. The review covers different effects of geographical factors, like spatial isolation, altitude, and local climate on polyploidy, and the behavior of polyploid(s) in abiotic factors, such as temperature and light with a few examples of northwest Himalayas. The paper concludes that polyploid plants behave differently in environmental conditions, as polyploids are more prominent in higher altitudes, colder environments, and nutrient-rich soil than diploid progenitors, but have a mixed distribution in different geographical conditions. Further, polyploidy is more common among perennials than annuals, while niche differentiation depends more on the local environment. The virtual case study results from North and North Western India have been shown with the help of ArcGIS online software. The scrutiny of spatial distribution on maps highlights the fact that polyploidy is still a complex research puzzle with interesting perspectives.

Human gut microbiome aging clocks based on taxonomic and functional signatures through multi-view learning

ABSTRACT The human gut microbiome is a complex ecosystem that is closely related to the aging process. However, there is currently no reliable method to make full use of the metagenomics data of the gut microbiome to determine the age of the host. In this study, we considered the influence of geographical factors on the gut microbiome, and a total of 2604 filtered metagenomics data from the gut microbiome were used to construct an age prediction model. Then, we developed an ensemble model with multiple heterogeneous algorithms and combined species and pathway profiles for multi-view learning. By integrating gut microbiome metagenomics data and adjusting host confounding factors, the model showed high accuracy (R2 = 0.599, mean absolute error = 8.33 years). Besides, we further interpreted the model and identify potential biomarkers for the aging process. Among these identified biomarkers, we found that Finegoldia magna, Bifidobacterium dentium, and Clostridium clostridioforme had increased abundance in the elderly. Moreover, the utilization of amino acids by the gut microbiome undergoes substantial changes with increasing age which have been reported as the risk factors for age-associated malnutrition and inflammation. This model will be helpful for the comprehensive utilization of multiple omics data, and will allow greater understanding of the interaction between microorganisms and age to realize the targeted intervention of aging.

Evaluation of the influence of geographical factors on the difficulty of grid operation cost

The cost of power network operation and maintenance is affected by many factors, which will affect the cost. Among the many influencing factors, the geographical environment is one of the more important factors. The influence of geographical factors on cost is realized by geographical conditions including distance, topography, climate, etc. . When the distance is longer, the topography is more complex, and the climate change is more severe, for the operation and maintenance costs will have a higher increase in the effect.This paper analyzes the process that the internal and external composing mechanism of Power Grid Enterprise's operation cost is affected by geographical factors, and analyzes the influence way and result of geographical factors on power grid's operation cost.

Military Geography in the Context of Geographic Determinism

The influence of geographic factors on the society as well as on different social realities had special importance within the whole history of social-philosophical thought. From this perspective, the theory of geographic determinism has emerged as the most essential conception. The supporters of this theory paid special attention to the geographic factors demonstrating and underlining the importance of their place and role in the process of formation and development of various social phenomena. This article mainly focuses on the place and role of military geography in the study, organization, and modeling of social processes.

Geographical traceability of Eucommia ulmoides leaves using attenuated total reflection Fourier transform infrared and ultraviolet-visible spectroscopy combined with chemometrics and data fusion

Eucommia ulmoides is one of valuable cash crops and its leaves are a high-quality raw industrial material with great development potential. Geographical variation is the main factor leading to differences in chemical composition of Eucommia ulmoides leaves (EULs). In this study, a total of 159 samples from 13 provinces in China including male and female individuals as well as various elevation ranges were systematically conducted using fusion data, attenuated total reflection Fourier transformation mid-infrared (ATR-FTIR) and ultraviolet-visible (UV–vis) spectra, coupled to chemometrics. Two classification models, partial least squares discrimination analysis (PLS-DA) and support vector machine (SVM), were established based on individual spectra and multi-spectral fused information, respectively. Comparatively, the SVM model based on genetic algorithm (GA) searching for optimal parameters had the best performance for distinguishing different origin samples with 100 % accuracy rates in calibration and validation sets. Furthermore, hierarchical cluster analysis (HCA) was used for investigating the influence caused by the difference in gender and altitude based on low-level fusion data. The result showed that the effect of individual gender on chemical information of EULs was less than the influence of geographical factors. Meanwhile, an interesting focus was that the PLS-DA scores plot and dendrogram suggested that the chemical profiles of these samples in Jiangxi Province (region 8) was significantly different from other regions because of the green circular economy mode. This study indicated that the PLS-DA and GA-SVM algorithm could be developed as an excellent model in geographical traceability on the basis of mid-level (latent variables, LVs) data fusion with two spectral datasets. Such comprehensive utilization model under the circular industry economy should be recommended.

Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics

Spatial data of regional populations are indispensable in studying the impact of human activities on resource utilization and the ecological environment. Because the differences between datasets and their spatial distribution are still unclear, this has become a puzzle in data selection and application. This study is based on four mainstream spatialized population datasets: the History Database of the Global Environment version 3.2.000 (HYDE), Gridded Population of the World version 4 (GPWv4), Global Human Settlement Layer (GHSL), and WorldPop. In view of possible influences of geographical factors, this study analyzes the differences in accuracy of population estimation by computing relative errors and population spatial distribution consistency in different regions by comparing datasets pixel by pixel. The results demonstrate the following: (1) Source data, spatialization methods, and case area features affect the precision of datasets. As the main data source is statistical data and the spatialization method maintains the population in the administrative region, the populations of GPWv4 and GHSL are closest to the statistical data value. (2) The application of remote sensing, mobile communication, and other geospatial data makes the datasets more accurate in the United Kingdom, with rich information, and the absolute value of relative errors is less than 4%. In the Tibet Autonomous Region of China, where data are hard to obtain, the four datasets have larger relative errors. However, the area where the four datasets are completely consistent is as high as 84.73% in Tibet, while in the UK it is only 66.76%. (3) The areas where the spatial patterns of the four datasets are completely consistent are mainly distributed in areas with low population density, or with developed urbanization and concentrated population distribution. Areas where the datasets have poor consistency are mainly distributed in medium population density areas with high urbanization levels. Therefore, in such areas, a more careful assessment should be made during the data application process, and more emphasis should be placed on improving data accuracy when using spatialization methods.

Influence of geographical factors on thermal stress in northern Carpathians

While general features of mountain climate are well recognised, there is not many research regarded their bioclimatic differentiation. The aim of the present study is to answer the question how different geographical factors: elevation above sea level, physiographical type of area, climate continentality and location of area in relation to the main mountain ridge influence thermal stress in northern Carpathians. To analyse thermal stress in the region, daily meteorological data from 21 stations of national weather networks of Poland, Ukraine and Slovakia for the period 1986–2015 were used. Daily data of air temperature, relative humidity, total cloud cover and wind speed at 10 m above ground for 12 UTC were used because they represent midday hours which are mostly used for any human activity. The Universal Thermal Climate Index (UTCI) was applied as a measure of thermal stress. The results show that (1) cold stress significantly increases and heat stress decreases due to rise of altitude, (2) due to climate continentality and physiographical differences between western and eastern parts of northern Carpathians in their eastern edge, the cold stress is more evident than in western one, (3) at southward slopes of Carpathian, heat stress is significantly more frequent then at northward areas.

Factors in the sea ports-of-entry and road ports-of-entry cross-border logistics route choice

The increasing demand for foreign trade in inland areas has led to an increasingly prominent problem of competition between land ports-of-entry (POEs) and sea POEs, and it has also made the comparative study of land POEs and sea POEs cross-border logistics necessary. However, the data used in the existing literature are usually based on surveys or small samples, resulting in inaccurate research results, and most studies generally ignore the spatial heterogeneity of shippers who uses cross-border logistics service and individual preference differences. Taking the international trade between China, Myanmar and Vietnam as an example, and considering the geographical spatial characteristics of various factors, we analyze how geographical factors affect the cross-border logistics routes choice. By using the conditional logit model, the influence of geographical factors on the land POEs and sea POEs cross-border logistics routes choice is compared. The results show that there are significant differences in the characteristics and their influencing factors, which are reflected in the scale of freight, transportation distance, duration, transportation expense, infrastructure quality, geographical location and characteristics of the shippers and POEs. The distance equivalent tool is introduced to calculate the competition balance point of the sea/road POE. The impact mechanism of cross-border logistics choice of land POEs and sea POEs cross-border logistics is explored. Finally, according to the spatial differences of POEs, policy suggestions are proposed.

Nestedness pattern and the influence of geographical factors on Algerian island breeding birds

ABSTRACT The relationship between the abundance of breeding birds on the studied islands and the topographic variables (surface and distance from the continent) was tested via data on the breeding birds of 11 islands in Algeria. A nestedness calculator program was used to study the nestedness of breeding birds. Islands’ surface conditions and their isolation explain clearly the richness of breeding birds. The distribution of island breeding birds showed a strong nested structure that differs significantly from the distribution of the random model.

Combining the Fisher Feature Extraction and Support Vector Machine Methods to Identify the Water Inrush Source: A Case Study of the Wuhai Mining Area

Discriminating the source of water inrush accurately and efficiently is necessary for water control in the coal mining industry. We combined the Fisher feature extraction and support vector machine (SVM) methods and applied this new model to the Wuhai mining area. The method extracts features from the raw data and integrated SVM, and synthetically considers the influence of geographical factors. Cross-analysis was tested 100 times, which arbitrarily selected 12 samples for the prediction and discrimination process. The results indicate that this new combined model of linear dimension reduction and non-linear dimension elevation was more accurate and efficient in discriminating water inrush sources than the traditional SVM model. Moreover, by reducing the penalty term of SVM model, we analyzed the correlation among the aquifers. We concluded that aquifers II and IV correlated strongly with each other, and that aquifer III was poorly connected with the other aquifers.

The Influence of Geographical Factors on Extreme Rainfalls in Lampung Province

Many people in Indonesia calculate design rainfall before calculating the design flooddischarge. The design rainfall with a certain return period will eventually be convertedinto a design flood discharge by combining it with the characteristics of the watershed.However, the lack of a network of rainfall recording stations makes many areas that arenot hydrologically measured (ungauged basin), so it is quite difficult to know thecharacteristics of rain in the area concerned. This study aims to analyze thecharacteristics of design rainfall in Lampung Province. The focus of the analysis is toinvestigate whether geographical factors influence the design rainfall that occurs in theparticular area. The data used in this study is daily rainfall data from 15 rainfallrecording stations spread in Lampung Province. The method of frequency analysis usedin this study is the Gumbel method. The research shows that the geographical location ofan area does not have significant effect on extreme rainfall events. The effect of risingearth temperatures due to natural exploitation by humans tends to be stronger as a causeof extreme events such as extreme rainfall.Keywords: Influence, geographical, factors, extreme, rainfall.

The Influence of Geographical Factors in Traditional Earthen Architecture: The Case of the Iberian Peninsula

Geographical and environmental conditions were two of the most important factors on the design and construction of traditional architecture. Traditional earthen architecture is found throughout the Iberian Peninsula in numerous constructive techniques and variants, most notably rammed-earth, adobe and half-timber. The varied morphology, climate, geology and culture of the Iberian Peninsula, together with its immediate surroundings, have a direct effect on the development and the properties of traditional architecture. Thus, the objective of this research is to establish the relationship between the geographical characteristics and the distribution of the earthen techniques. For that purpose, the authors of this text have carried out a thorough data collection throughout the whole of the Iberian Peninsula in order to identify the main characteristics of this architecture in each location and to produce maps featuring the locations for each technique. This mapping of numerous techniques has been compared with other thematic maps of the territory, establishing relationships between the different techniques and specific properties of a given area. These provide hypotheses on which factors encourage or hinder the use of earthen construction techniques. Moreover, the relationship of traditional architecture with geographical factors and its specific morphology on a given place has provided many design lessons for a sustainable architecture. Those lessons must be taken into account on rehabilitation works and new architecture.

Geotaxation and the Digital: Janus in the Mirror

Geotaxation focuses on international tax relations and their development under the influence of geographical factors, considering, for example, collaborations among states, the international impact of national or local tax policies etc. Today geotaxation is required to expand to new spaces, where human activity is evolving, such as the cyberspace. Different from all other geo-tax subjects, cyber-reality is challenging established social structures and norms and international relations, including in the tax area. On these premises, this article explores the changes that cyberspace and modern geotaxation imply for the state and the potential development of the international tax scenario.

Influence of geographic factors on the form of government: theoretical justification

Influence of geographic factors on the form of government: theoretical justification

Влияние географических факторов на развитие автодорожной сети Якутии

Влияние географических факторов на развитие автодорожной сети Якутии

The Influence of Geographic Factors on Information Dissemination in Mobile Social Networks in China: Evidence from WeChat

Mobile social networking services provide efficient and easy communication, enabling users to create, retrieve and disseminate messages on the go while making their messages widely available. Despite growing evidence suggesting that geographic location and distance restrict online communication and interaction patterns, the role of geographic factors on the information dissemination in mobile social networks is often overlooked. We conducted a large-scale analysis on how the geographic factors influence the information dissemination in mobile social networks, by using two different datasets which recorded billions of users’ viewing and forwarding activities corresponding as well as the temporal and geographic information. The effects of two geographic factors, namely location and distance, on the probability and velocity of information dissemination were explored by measuring the geographic distribution of the four key indicators, namely viewing probability, forwarding probability, response time, and decision-making time. The results verify the distance decay effect of the information dissemination probability, and demonstrate that the velocity of information dissemination is not dependent on geographic distance. Furthermore, both the probability and velocity of information dissemination show heterogeneity and diversity of geographic location. Our research makes up for the gap in the relationship between geographic factors and information dissemination in mobile social networks. Our findings can provide suggestions for mobile social services, public opinion regulation and precision marketing.

A Gravity Analysis of International Stock Market Linkages

The last decade has witnessed a marked improvement in information technology. Such an improvement has reduced the information cost for market participants. Thus, whether the influence of geographic factors on international financial linkage is still significant nowadays is an important question yet to be addressed. This paper develops a gravity model of international financial linkages. Using the panel data of bilateral cross-country stock market correlations of 23 countries, it is found that the correlations are negatively associated with the great circular distance between the financial centers of these countries, and positively associated with the duration of overlapping trading hours among stock exchanges and the colonial links between countries. However, whether the countries share a common border or language does not affect the stock market correlations.

Temporal Trends in Geographic and Sociodemographic Disparities in Colorectal Cancer Among Medicare Patients, 1973-2010.

Colorectal cancer (CRC) incidence and mortality in the United States have steadily declined since the 1980s, but racial and socioeconomic disparities remain. The influence of geographic factors is poorly understood and may be affected by evolving insurance coverage and screening test uptake. We characterized temporal trends in the association between geographic and sociodemographic factors and CRC outcomes. We used the 1973-2010 SEER-Medicare files to identify patients aged ≥65 years with and without CRC. Beneficiary residential ZIP codes were used to extract local-level data. We constructed multivariable logistic regression models for CRC incidence and mortality using geographic and sociodemographic variables in 4 time periods: (1) 1973-1997; (2) 1998-2001; (3) 2002-2006; and (4) 2007-2010. We analyzed 1,093,758 records, including 336,321 CRC cases. Compared to urban residence, small rural residence was strongly associated with increased CRC incidence (OR 1.50, 95% CI: 1.43-1.57) and mortality (OR 1.35, 95% CI: 1.26-1.45) in 1973-1997, but the associations diminished by 2007-2010 (OR 1.09, 95% CI: 1.04-1.15 for incidence; OR 1.10, 95% CI: 1.01-1.20 for mortality). The disparity between blacks and whites increased over time for both incidence (OR 1.09, 95% CI: 1.05-1.13 in 1973-1997 vs OR 1.32, 95% CI: 1.27-1.37 in 2007-2010) and mortality (OR 1.22, 95% CI: 1.16-1.28 in 1973-1997 vs OR 1.34, 95% CI: 1.26-1.42 in 2007-2010). High socioeconomic status was associated with greater incidence and mortality in 1973-1997, but it became protective after 1998. Although disparities persist among Medicare beneficiaries, the relationship between geographic and sociodemographic factors and CRC incidence and mortality has evolved over time.

An analysis of spatial patterns of toponyms in Guangdong, China

ABSTRACTThe unique geographical environment and the historical waves of immigration of the northern Han Chinese to the Lingnan region have contributed to the development of a complex and unique culture in Guangdong Province. Four ancient ethnic groups, the Zhuang, Cantonese, Hoklo and Hakka, have resided in this area for centuries. As an important part of local culture, toponyms often survive changes in history and can reveal the temporal differences between the past and present in landforms and the spatial differences in the distribution of different ethnic group populations. In this study, two goals were sought: (1) the adoption of spatial smoothing and interpolation methods to reveal the spatial patterns of the Zhuang, Cantonese, Hoklo and Hakka toponyms based on comparisons among the proportions of those who speak various languages and (2) the investigation of the differences among toponymic layers under regional environmental conditions and the influences of geographic factors using an independent samples t-test and a binary logistic regression.