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  Subjects -> AERONAUTICS AND SPACE FLIGHT (Total: 121 journals)
Showing 1 - 30 of 30 Journals sorted by number of followers
AIAA Journal     Hybrid Journal   (Followers: 1188)
SpaceNews     Free   (Followers: 826)
Journal of Spacecraft and Rockets     Hybrid Journal   (Followers: 772)
Journal of Propulsion and Power     Hybrid Journal   (Followers: 609)
Acta Astronautica     Hybrid Journal   (Followers: 493)
Advances in Space Research     Full-text available via subscription   (Followers: 458)
Aviation Week     Full-text available via subscription   (Followers: 436)
Aerospace Science and Technology     Hybrid Journal   (Followers: 428)
IEEE Transactions on Aerospace and Electronic Systems     Hybrid Journal   (Followers: 384)
Journal of Aircraft     Hybrid Journal   (Followers: 335)
Control Systems     Hybrid Journal   (Followers: 314)
IEEE Aerospace and Electronic Systems Magazine     Full-text available via subscription   (Followers: 278)
Journal of Navigation     Hybrid Journal   (Followers: 277)
Gyroscopy and Navigation     Hybrid Journal   (Followers: 258)
Journal of Guidance, Control, and Dynamics     Hybrid Journal   (Followers: 204)
Space Science International     Open Access   (Followers: 198)
Space Science Reviews     Hybrid Journal   (Followers: 97)
International Journal of Aerospace Engineering     Open Access   (Followers: 82)
Progress in Aerospace Sciences     Full-text available via subscription   (Followers: 80)
Journal of Aerospace Engineering     Full-text available via subscription   (Followers: 69)
Advances in Aerospace Engineering     Open Access   (Followers: 69)
Propulsion and Power Research     Open Access   (Followers: 68)
Aerospace     Open Access   (Followers: 60)
Space Safety Magazine     Free   (Followers: 51)
Space Research Today     Full-text available via subscription   (Followers: 48)
Proceedings of the Institution of Mechanical Engineers Part G: Journal of Aerospace Engineering     Hybrid Journal   (Followers: 46)
International Journal of Aeroacoustics     Hybrid Journal   (Followers: 40)
IEEE Transactions on Circuits and Systems I: Regular Papers     Hybrid Journal   (Followers: 39)
International Journal of Aerodynamics     Hybrid Journal   (Followers: 37)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 34)
Canadian Aeronautics and Space Journal     Full-text available via subscription   (Followers: 34)
International Journal of Aerospace Sciences     Open Access   (Followers: 32)
Journal of Aeronautics & Aerospace Engineering     Open Access   (Followers: 31)
Space Policy     Hybrid Journal   (Followers: 30)
CEAS Aeronautical Journal     Hybrid Journal   (Followers: 29)
Aviation Psychology and Applied Human Factors     Hybrid Journal   (Followers: 27)
Journal of Space Weather and Space Climate     Open Access   (Followers: 27)
Egyptian Journal of Remote Sensing and Space Science     Open Access   (Followers: 24)
Russian Aeronautics (Iz VUZ)     Hybrid Journal   (Followers: 24)
Artificial Satellites     Open Access   (Followers: 23)
International Journal of Aerospace Psychology     Hybrid Journal   (Followers: 23)
Annual of Navigation     Open Access   (Followers: 22)
Journal of Aerospace Information Systems     Hybrid Journal   (Followers: 22)
Chinese Journal of Aeronautics     Open Access   (Followers: 21)
Nonlinear Dynamics     Hybrid Journal   (Followers: 20)
Aerospace Medicine and Human Performance     Full-text available via subscription   (Followers: 19)
Aerospace Scientific Journal     Open Access   (Followers: 18)
Journal of Aerospace Engineering & Technology     Full-text available via subscription   (Followers: 18)
Journal of Aerodynamics     Open Access   (Followers: 18)
Research & Reviews : Journal of Space Science & Technology     Full-text available via subscription   (Followers: 17)
Journal of Wind Engineering and Industrial Aerodynamics     Hybrid Journal   (Followers: 17)
Aviation     Open Access   (Followers: 17)
International Journal of Space Structures     Full-text available via subscription   (Followers: 17)
Proceedings of the Human Factors and Ergonomics Society Annual Meeting     Hybrid Journal   (Followers: 16)
Fatigue of Aircraft Structures     Open Access   (Followers: 15)
International Journal of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 13)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 12)
Aeronautical Journal, The     Hybrid Journal   (Followers: 12)
Frontiers in Astronomy and Space Sciences     Open Access   (Followers: 12)
Journal of Airline and Airport Management     Open Access   (Followers: 12)
Elsevier Astrodynamics Series     Full-text available via subscription   (Followers: 12)
International Journal of Space Science and Engineering     Hybrid Journal   (Followers: 11)
Air Force Magazine     Full-text available via subscription   (Followers: 11)
Journal of Aviation Technology and Engineering     Open Access   (Followers: 11)
COSPAR Colloquia Series     Full-text available via subscription   (Followers: 11)
International Journal of Micro Air Vehicles     Full-text available via subscription   (Followers: 11)
Aviation in Focus - Journal of Aeronautical Sciences     Open Access   (Followers: 10)
International Journal of Space Technology Management and Innovation     Full-text available via subscription   (Followers: 10)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 9)
Journal of Aircraft and Spacecraft Technology     Open Access   (Followers: 9)
Journal of Aeronautical Materials     Open Access   (Followers: 9)
Journal of the Astronautical Sciences     Hybrid Journal   (Followers: 9)
Population Space and Place     Hybrid Journal   (Followers: 9)
International Journal of Aviation Management     Hybrid Journal   (Followers: 9)
Journal of Space Safety Engineering     Hybrid Journal   (Followers: 8)
Air Medical Journal     Hybrid Journal   (Followers: 8)
Advances in Aerospace Science and Technology     Open Access   (Followers: 8)
Journal of the American Helicopter Society     Full-text available via subscription   (Followers: 7)
Journal of Aerospace Technology and Management     Open Access   (Followers: 7)
International Journal of Applied Geospatial Research     Hybrid Journal   (Followers: 7)
International Journal of Aviation Technology, Engineering and Management     Full-text available via subscription   (Followers: 7)
RocketSTEM     Free   (Followers: 6)
New Space     Hybrid Journal   (Followers: 6)
Aerospace Systems     Hybrid Journal   (Followers: 6)
International Journal of Turbo and Jet-Engines     Hybrid Journal   (Followers: 6)
Unmanned Systems     Hybrid Journal   (Followers: 5)
Civil Aviation High Technologies     Open Access   (Followers: 5)
Cosmic Research     Hybrid Journal   (Followers: 5)
International Journal of Sustainable Aviation     Hybrid Journal   (Followers: 5)
REACH - Reviews in Human Space Exploration     Full-text available via subscription   (Followers: 5)
International Journal of Aviation, Aeronautics, and Aerospace     Open Access   (Followers: 5)
Aviation Advances & Maintenance     Open Access   (Followers: 5)
Astrodynamics     Hybrid Journal   (Followers: 4)
Life Sciences in Space Research     Hybrid Journal   (Followers: 4)
Space and Polity     Hybrid Journal   (Followers: 4)
Aerotecnica Missili & Spazio : Journal of Aerospace Science, Technologies & Systems     Hybrid Journal   (Followers: 4)
Aerospace technic and technology     Open Access   (Followers: 3)
Investigación Pecuaria     Open Access   (Followers: 3)
Problemy Mechatroniki. Uzbrojenie, lotnictwo, inżynieria bezpieczeństwa / Problems of Mechatronics. Armament, Aviation, Safety Engineering     Open Access   (Followers: 3)
ASTRA Proceedings     Open Access   (Followers: 3)
npj Microgravity     Open Access   (Followers: 3)
Journal of Astrobiology & Outreach     Open Access   (Followers: 3)
Journal of Spatial Science     Hybrid Journal   (Followers: 3)
Journal of KONBiN     Open Access   (Followers: 3)
Journal of Aviation/Aerospace Education & Research     Open Access   (Followers: 2)
Ciencia y Poder Aéreo     Open Access   (Followers: 2)
Вісник Національного Авіаційного Університету     Open Access   (Followers: 2)
Microgravity Science and Technology     Hybrid Journal   (Followers: 2)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 2)
MAD - Magazine of Aviation Development     Open Access   (Followers: 2)
International Journal of Aeronautical and Space Sciences     Hybrid Journal   (Followers: 2)
Science and Education : Scientific Publication of BMSTU     Open Access   (Followers: 1)
Mekanika : Jurnal Teknik Mesin i     Open Access   (Followers: 1)
Technical Soaring     Full-text available via subscription   (Followers: 1)
Journal of the Australasian Society of Aerospace Medicine     Open Access   (Followers: 1)
Advances in Astronautics Science and Technology     Hybrid Journal   (Followers: 1)
Transport and Aerospace Engineering     Open Access   (Followers: 1)
Open Aerospace Engineering Journal     Open Access   (Followers: 1)
Spatial Information Research     Hybrid Journal   (Followers: 1)
Journal of Engineering and Technological Sciences     Open Access   (Followers: 1)
Perspectives of Earth and Space Scientists i     Open Access  

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Similar Journals
Journal Cover
Spatial Information Research
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 2366-3286 - ISSN (Online) 2366-3294
Published by Springer-Verlag Homepage  [2652 journals]
  • Determinants of regional inequality in female work participation in Lower
           Gangetic Plain Region of India
    • Abstract: The present study is aimed at analysing the pattern of female work participation by disaggregating the information at regional level and further by inter-district variation. Moreover, this study tries to explore the factors which affect inter-regional variation in the percentage of female workers in rural areas and analyses the reasons of such. An attempt to reveal the differentiation in male and female work participation rate in different physiographic regions of West Bengal based on the secondary data collected from Census of India, 2011. Different statistical measures are employed to assess the level of inequality in work participation in different social strata of the society. Spatial pattern of work participation has been identified with the help of GIS techniques. The study reveled that the all-India pattern shows a great accentuation in regional differences in female work participation rate depending upon agro-ecological conditions prevailing within a physiographic region. The result has shown that female participation is generally lower (16.69%) compared to their male (41.63%) counterparts in 2011. The study found that socially deprived segments such as the scheduled castes and the scheduled tribe women display much higher level of participation compared to their more fortunate sisters belonging to the non-scheduled category. The study found that disparity is far less in geographically difficult areas and where agriculture is not well developed due to physiographic constraints such as in Hill and Terai region or in West Rarh Plateau Fringe.
      PubDate: 2021-04-01
       
  • Urban planning for physically disabled people’s needs with case
           studies
    • Abstract: The aim of this study is to provide urban planning procedures tailored to the needs of disabled people. For this, it analyzes the problems of disabled people, especially physically disabled people, for living in Iran’s cities. It also analyses various planning and design characteristics of buildings in Iranian cities. Research methods of this paper are problem-oriented theoretical studies, case studies, a weighted sum method, and a Benchmarking technique. The methods assist to provide relevant standard indicators and a theoretical framework for the comparison of the cities to an optimal alternative. A case study strategy to gather data for certain comparisons and present a disabled-oriented model of urban planning has been performed. The weighted sum method dedicates quantitative scores and performs the comparison and judgment. Finally, this paper concludes that the cities in Iran are not appropriate to the physical and administrative needs of the disabled. This study finds that buildings in Iranian cities often lack the necessary standards for the needs of the disabled. The outcomes of this research concerning urban planning for disabled people will assist better disabled-oriented urban planning, design, and development everywhere in the world.
      PubDate: 2021-04-01
       
  • Exploring spatial and temporal trends of diurnal temperature range in the
           region of the Subarnarekha river basin India
    • Abstract: This study analyzed the spatial and temporal trends of diurnal temperature range (DTR) for 35-years (1983–2017) in the region of the Subarnarekha river basin of Jharkhand, India. The daily data of maximum temperature (Tmax) and minimum temperature (Tmin) were habituated to compute the DTR, whereas rainfall data is used to measure its relationship with DTR, on a monthly annual and seasonal basis. Mann–Kendall test and Sen’s slope method has been used to detect the increasing or decreasing trends in climatic data with their statistical significance. The annual mean DTR of the basin is 11.97 °C With a maximum in pre-monsoon (16.36 °C) and minimum in monsoon (6.94 °C). A significant negative trend (− 0.31 °C/decade) was observed in annual DTR over the basin. On a seasonal basis, all four seasons show a negative trend in DTR with the largest significant decreasing trend in the pre-monsoon season (− 0.49 °C/decade). On an annual and seasonal basis, a significant negative correlation between DTR and rainfall is found, indicating that rainfall has a significant impact on the variation of DTR in this basin. A concomitant increase in rainfall might be one of the possible causes of the decreases in DTR in the basin.
      PubDate: 2021-04-01
       
  • Crop yield prediction in cotton for regional level using random forest
           approach
    • Abstract: Early and precise estimation of crop yield plays a crucial role in quantitative and financial assessment at field level, to lay down strategic plans for import–export policies for agricultural commodities and to doubling the income of farmers. In this study, a machine learning based random forest (RF) algorithm was used to predicate cotton yield at three distinct times before the actual harvest in the state of Maharashtra in India using R package. Long-term agromet-spectral variables derived from multi-sensor satellites with actual crop yield from 2001 to 2017, were used to generate co-linearity of predictor variables and further, calibrate and validate the RF model. The performance of the RF model was found reliable and faster in predicting the crop yield with the most influencing variables with 69%, 60% and 39% of coefficient of determination (R2) in the final yield for September, December and February months, respectively using CART decision tree and recursive feature elimination method in R programming. Results showed as RF algorithm has the capability to integrate and process a large number of inputs as derived from different satellite modalities, unscaled and non-uniform ground based information, expert knowledge, etc. With high precision and avoid over fitting of the model.
      PubDate: 2021-04-01
       
  • A review on current status of COVID19 cases in Maharashtra state of India
           using GIS: a case study
    • Abstract: The coronavirus is showing its strength and spreading exponentially in all the corners of India. Due to this, India is moving under a pandemic situation and most of the states are badly suffering from it. The Maharashtra state in India is a highly infected state and has maximum number of COVID19 (Corona Virus Disease 2019) cases. Therefore, this paper aims to study the current scenario of COVID19 cases in Maharashtra state using the geo-visualization techniques. The paper deals with the district wise current situations showing through compiled maps of COVID19 cases and also presents the detailed ward wise map of COVID19 cases of Mumbai city which has the highest number of cases in Maharashtra state. This review briefly covers the introduction, current cases, recovered cases, deceased cases, predictions, supports and preventive measures taken by authorities, and some basic advices and suggestions; however these are subjected to change in due course of time as is the number of cases and mortality.
      PubDate: 2021-04-01
       
  • Using circuity as a network efficiency measure: the example of Paris
    • Abstract: Circuity, also called as the detour index or the route factor, is the ratio of the network distance between two points to the Euclidean or ‘as-the-crow-flies’ distance. This study aims to present a simple yet effective procedure to assess the transport network efficiency in and between different parts of an urban area using circuity and concentering partitioning. As an example, the road network of the city of Paris and its vicinity is examined using planar network data from OpenStreetMap. The variation in circuity levels is analyzed by quantifying the physical structure of the street network through the use of graph theory-based topological indices. The findings reveal that the beta index, or the average number of edges per node, and the order of a node, or the number of edges connecting to a node, plan a more important role in having more direct routes with less circuity in a road network. It is concluded that that the priorities in city planning affect the efficiency of transportation and the efficiency of the network can be assessed by a simple yet effective procedure based on circuity to guide policymaking.
      PubDate: 2021-04-01
       
  • Impact of soil chemical properties on marigold production in Ranaghat-II,
           Nadia, India
    • Abstract: Soil chemical properties are globally affecting marigold production. Marigold production triggers the farmers’ economy and food security. Nonetheless, the direct link between soil chemical properties and marigold production at the village level spatial distribution is poorly understood in Ranaghat-II of Nadia in India. Here we stimulated the impact of soil chemical properties on marigold production using 105 soil samples measuring the amount of soil pH, electrical conductivity (EC), organic carbon (OC), nitrogen (N), phosphorus (P) and potassium (K); and the questionnaire survey from 420 florist farmers for flower production are collecting from every village during 2018. Our results of multiple linear regression exhibit that N and OC have a paramount effect on flower production and a comfortable range of pH and EC also helpful to the performance of marigold. However, increasing P and K decrease yield at some point. Although the nutrients are auto-correlated, the Residual statistics prove overall soil chemical properties have a strong linear positive correlation to marigold production. Interpolation method shows the high and low marigold producing villages place south and north sides of Ranaghat-II. To preserve sustainable soil-marigold production and society, and the relevant policies and future research topics are suggested.
      PubDate: 2021-04-01
       
  • Improved email classification through enhanced data preprocessing approach
    • Abstract: Email has become one of the most widely used forms of communication, resulting in an exponential increase in emails received and creating an immense burden on existing approaches to email classification. Applying the classification method on the raw data may worsen the performance of classifier algorithms. Hence, the data have to be prepared for better performance of the machine learning classifiers. This paper proposes an enhanced data preprocessing approach for multi-category email classification. The proposed model removes the signature of the email. Further, special characters and unwanted words are removed using various preprocessing methods such as stop-word removal, enhanced stop-word removal, and stemming. The proposed model is evaluated using various classifiers such as Multi-Nominal Naïve Bayes, Linear Support Vector Classifier, Logistic Regression, and Random Forest. The results showed that the proposed data preprocessing to email classification is superior to the existing approach.
      PubDate: 2021-04-01
       
  • Decadal variations of sea surface temperature in the eastern Arabian Sea
           and its impacts on the net primary productivity
    • Abstract: Ten-year satellite derived data (January 2007 to December 2016) were used to investigate the variability of Chlorophyll-a (Chl-a), sea surface temperature (SST), net primary production (NPP) in the eastern Arabian Sea (AS). This study is aimed to show the coupling of physical and biological processes to understand how temporal, annual and inter-annual variations occur and the forcing mechanisms behind these variations in the ocean environments. This work is linked to Indian Ocean Dipole and the El Niño/Southern Oscillation, which frequently co-occur and drives inter-annual changes within the AS. Vertically Generalized Production Model was used to estimate NPP using chl-a, Photosynthetically Available Radiation, euphotic depth, and maximum photosynthetic rate from SST. The relationship between NPP and SST showed change in the pattern over the study period. The NPP in the AS is characterized by an unusual decline during El Niño events. AS is more productive during summer monsoon (June–September) due to coastal upwelling, wind driven mixing and lateral advection processes. There was decline in NPP after 2014 and this trend continued in the following years. The present investigation revealed that the strong El Niño condition was observed in 2015 and productivity of AS declined by ~ 19%, while SST increased by ~ 2% from an overall average of 2007–2016. Increased SST and low productivity could result in low fish catch in AS. Increasing trend in SST could be attributed to the extreme events like cyclones occurring along the west coast of India.
      PubDate: 2021-04-01
       
  • Fluvial knickpoint identification and their characterizations in the
           drainage basins of Western Ghats, India
    • Abstract: The fluvial knickzones, a geomorphic marker of erosion, climate, and tectonics has received much interest in the topographic developmental studies in the recent past. Nevertheless, examining their spatial distribution in passive margins has not been well documented especially for the drainage basins in the humid tropical climatic systems. Here in this study, we presented the spatial distribution of knickzones in the three river basins of Western Ghats, India, namely Chaliyar, Pambar and Muthirapuzha basins. Because the conventional method of knickzone identification using topographic maps or field readings is laborious, we employed a 30 m digital elevation model and TopoToolBox, a Matlab© based tool to extract the knickpoints in the study area. A total of 356 knickpoints were identified by analyzing ~ 2670 km of river network, and the knickzone frequency is estimated as 0.13 km−1. The average height of the knickzones is found to be 83 m, and majority of the knickpoints are located closest to the headwaters. Although we noticed that the streams underlying metamorphic lithology tends to have the highest knickzone frequency, but it can be also attributed to the fact that metamorphic rocks are the most dominant rock type in the study area. The high amount of knickzone frequency in the study area thus may be the result of coupled climatic control caused by heavy summer rainfall, bed rock erosion triggered by high grade metamorphism, and also the local base level changes as indicated by the clustered knickpoints in the stream heads.
      PubDate: 2021-04-01
       
  • Modelling the role of environmental variables in determining the
           distribution of invasive Burmese Python in Florida
    • Abstract: The objective of this study was to model the relationship between environmental variables and the spatial distribution of the Burmese Python across Florida. MaxEnt model was utilized to understand the relative preference of pythons based on environmental variables. While Burmese Python presence is most prevalent along roads and canals, our study moves beyond these human-made paths to identify other environmental variables, which determine their presence. The distribution is mostly restricted to southern Florida and probability of presence is high in areas where elevation is 0–1 feet and mean temperature range between 24 and 25 °C. The most suitable habitats were located throughout wetlands, where the soil is shallow that sits atop limestone bedrock. There was also a seasonal shift in the spatial patterns. During the dry season, the distribution was spread throughout the south of the state with several areas of clustering. While, during the wet season the distribution was clustered throughout the south of the state with areas of high probability along the southwest coast. Moreover, the probability of presence is highest during the dry season in areas identified as urban and wetlands. The results of our study fills a gap in invasive species management by providing a new and inexpensive way to monitor the distribution and spread of Burmese Pythons.
      PubDate: 2021-03-12
       
  • Network constrained and classified spatial pattern analysis of healthcare
           facilities and their relationship with the road structure: a case study of
           Thiruvananthapuram city
    • Abstract: Equity of the utilization of medical facilities is extremely dependant on the spatial distribution of healthcare amenities. In this study, an attempt is made to study the geographic distribution of the various categories of healthcare facilities in the city of Thiruvananthapuram, South India using the centrographic analysis that includes the Mean Center, Standard Deviational Ellipse and Average Nearest Neighbour and it was found that there is an uneven distribution. Network-based point pattern analysis is also performed and cross k-function is used to determine the distribution of medical shops relative to the healthcare services. A weighted node approach is used to calculate the indices of centrality by weighing all nodes based on their degree using Geographical Information System (GIS). Multi centrality assessment model consisting of betweenness, closeness and straightness centrality is used to compute the weighted road centrality on a local and global scale. Kernel Density Estimation technique is applied to modify the centrality values and the vector points to a basic raster framework. Correlation analysis was performed to find the role of the network centrality on the location of healthcare facilities in the study area. Correlation values are greatest among category 2 hospitals; straightness centrality and betweenness centrality favours the location of category 1 hospitals and homeopathy hospitals respectively. The results confirm that network topology influences the location of medical facilities in the study area.
      PubDate: 2021-03-08
       
  • Spatial interdependence of fractal dimension and topological parameters of
           road network: a geographically weighted regression approach
    • Abstract: Road networks are spatial entities that display several geometric, topological variations and fractal nature. The study of the varied properties of road networks is of paramount importance in the field of urban and transport planning. This exploratory research paper aims to study the topological parameters of the road network of Tiruchirappalli city in Tamil Nadu, India based on Graph theory at different scales, i.e., by considering the road network of the study area as 65 wards, 4 zones and the city as a whole entity. The parameters considered in this study include connectivity indices, coverage indices and fractal dimension. Correlation analysis followed by regression analysis is carried out to find the relationship between the variables. The interrelationship between the deduced fractal dimension and other topological parameters of the road network are explored using analytical modelling technique alternatives like Ordinary Least Square (OLS) regression and Geographically Weighted Regression (GWR) by using Geographical Information System (GIS). Results prove that fractal dimension is an indicator of coverage and the fractal dimension of the road network in Tiruchirappalli corporation has a value 1.549 when considered as a whole. It is found that the Geographically Weighted Regression model provides a better fit compared to the ordinary least square regression model. The superiority of the GWR model over the OLS model is because it takes into account the variation of entities over a spatial region. Accessibility analysis for the 65 wards is performed using Shimbel index and it was ascertained that the central wards showed greater accessibility.
      PubDate: 2021-03-07
       
  • Forecasting anthracnose-twister disease using weather based parameters:
           geographically weighted regression focus
    • Abstract: The aim of this study is to identify the environmental factors that may influence the onion anthracnose-twister disease incidence and severity. In this study, Geographically Weighted Regression (GWR) analysis was used to identify the dominant environmental factors that might influence the occurrence of Anthracnose-twister disease of onion using Geographic Information System approach. The onion disease records were acquired from the Institute of Climate Change and Environmental Management. The weather parameters such as relative humidity, cumulative rainfall and temperature were acquired from the National Aeronautics and Space Administration website while the river parameters were generated from Sentinel-2 images. This study has identified the ‘distance to river’ and ‘rainfall’ factor as the two (2) important factors that may influence the occurrence of the disease. The predictive surface map generated from GWR model was able to predict the occurrence of the disease in onion field by as much as 86% in the study area. The results of the study can be used to forecast the occurrence of anthracnose-twister disease in the onion fields the future.
      PubDate: 2021-02-19
       
  • Spatial modeling of COVID-19 transmission in Bangladesh
    • Abstract: The purpose of the research was to investigate and identify the demographic risk factors behind the transmission of COVID-19 in Bangladesh based on spatial and statistical modeling. Number of COVID-19 confirmed cases per thousand population as the dependent variable and nine demographic explanatory variables were considered. Different spatial (i.e., Spatial Lag and Spatial Error Model) and non-spatial (Classic Model) regression techniques were employed in the research to detect the geographical relevance of potential risk factors affecting the transmission of COVID-19. Results indicate that population density was crucial for explaining the pattern of COVID-19 transmission in Bangladesh. Spatial Auto-correlation suggests that the spatial pattern of population density were significantly clustered at a confidence interval of 95%. Again, the regression analysis also shows that population density is an influential determinant for the propagation of COVID-19 in Bangladesh, with densely populated districts like Dhaka and Narayanganj also being among the worst affected areas. The findings of this research will help the government agencies and communities for effective and well-informed decision making in order to develop and implement strategies to contain the further spread of COVID-19 in Bangladesh.
      PubDate: 2021-02-18
       
  • Quantifying spatial patterns of urbanization: growth types, rates, and
           changes in Addis Ababa City from 1990 to 2020
    • Abstract: Urban patterns have shown that shifts in the social, economic, and geographical features of an area result in metropolitan growth, planned or otherwise. Rapid urbanization takes a toll on the ecological makeup of the environment and the wellbeing of humans at multiple levels. Thus, this study was drafted to quantify urban growth rates, types, and changes, with regards to urbanization patterns from 1990 to 2020. It tries to evaluate whether Addis Ababa’s urban expansion conforms to the diffusion-coalescence theory using remote sensing data. The Spatio-temporal pattern and changing aspects of the built-up land were examined using urban growth types, spatial metrics, and a gradient method. The last decade evidenced the most pronounced growth within a buffer distance of 10 to 22 km from the city center. Edge expansion was the most dominant form of growth across all three decades with more than 61% of new development each. Infill and outlying growth showed decadal variability with an alternating dominance. The Spatio-temporal investigation confirmed that the urban class and growth types remained consistent. The team concluded that diffusion and coalescence are two simultaneously occurring phases of urban growth rather than two dichotomous successive phases. Spatio-temporal patterns and the dynamic behavior of spatial metrics are instrumental in comprehending the urban growth process and cycle. Moreover, the results can aid in assessing the land use planning policy as well as to guide future land use planning.
      PubDate: 2021-02-18
       
  • Determine the regions of outmigration in North-East India: a
           cross-sectional analysis
    • Abstract: The present study explores the regional pattern in the process of out-migration. Presence of heterogeneity in ethnicity propagates North-East as an emerging region of outmigration in India. North–East India has experienced out-migration in all the areas but certain areas have experienced higher intensity in out-migration—which needs special attention. The study also tries to determine the source regions of out-migration in North-East India characterized by utmost regional contrasts in physiographic, cultural, and economic development. For the present study migration data has been collected from the census of India and the National Sample Survey Organization. Regions of out-migration have been demarcated with the help of the GIS techniques. The present study revealed that most of the parts of Mizoram, Arunachal Pradesh and some parts of Nagaland, and parts of lower and upper Assam have experienced excessive out-migration as compared to the other parts of North-East as well as in India. Unemployment and education are the root causes of out-migration for both male and female migrants in North-East India. Besides, immigration and communal conflict are the hidden multipliers that accelerated out-migration from various parts of the North-East.
      PubDate: 2021-02-16
       
  • Spatial optimisation of mango leather production and colour estimation
           through conventional and novel digital image analysis technique
    • Abstract: Being a seasonal fruit mango cannot be cherished over the year; dehydration may be a solution to preserve the deliquesce of mango as mango leather. The processing parameters like puree load (0.4–0.6 g/cm2), total soluble solid (20–30 °B), oven temperature (60–80 °C), and microwave power level (100–300 W) were optimised for a superior textural attribute (hardness) primitive drying method like sun drying, industrially practiced modern methods like hot air oven drying and microwave drying and cutting-edge drying technique like freeze-drying. Response surface methodology and artificial neural network technique were adapted to model these drying procedures by considering the central composite design. The mathematical operations guiding to describe the model were studied. Being an imperative parameter colour quantification is essential for food industries. Current research employs microwave drying to produce mango leather with colour quantification approach. The L, ‘a’ and ‘b’ values of the product have been measured by Hunter Lab colorimeter and by digital image analysis, to determine the chromatic view harmonious to human vision. The relative analysis of colour measurement through these two techniques has been studied.
      PubDate: 2021-02-10
       
  • Influence of seasonal variability in the environmental factors on tropical
           cyclone activity over the Bay of Bengal region
    • Abstract: The genesis of tropical cyclones over the Bay of Bengal region showed a significant amount of both spatial and temporal variability. Mean tropical cyclone genesis locations were shifted southward from July to December. The tropical cyclone activity was greatly suppressed during the monsoon (June–September) season compared to the post-monsoon (October-December) season. A Genesis Potential Index is presented to demonstrate the spatial and temporal alteration in the environmental factors contributing to the tropical cyclone genesis. Here we used six environmental factors such as instability, relative humidity, sea surface temperature, relative vorticity, mean sea level pressure and vertical wind shear. All of the six environmental factors showed a considerable amount of month-wise variability over the Bay of Bengal region from monsoon to post-monsoon season. We observed that during the monsoon season, instability, relative humidity and sea surface temperature were very favorable for tropical cyclone genesis, but the tropical cyclone frequency was very low compared to the post-monsoon season due to very high vertical wind shear and low relative vorticity. On the other hand, reduced vertical wind shear and increased relative vorticity overwhelmed the effect of reduced instability and increased relative humidity and favored tropical cyclone genesis during the post-monsoon season.
      PubDate: 2021-02-10
       
  • Spatio-temporal analysis of COVID-19 in India – a geostatistical
           approach
    • Abstract: Coronavirus (Covid) is a severe acute respiratory syndrome infectious disease, spreads primarily between human beings during close contact, most often through the coughing, sneezing, and speaking small droplets. A retrospective surveillance research is conducted in India during 30th January–21st March 2020 to gain insight into Covid’s epidemiology and spatial distribution. Voronoi statistics is used to draw attention of the affected states from a series of polygons. Spatial patterns of disease clustering are analyzed using global spatial autocorrelation techniques. Local spatial autocorrelation has also been observed using statistical methods from Getis-Ord G i * . The findings showed that disease clusters existed in the area of research. Most of the clusters are concentrated in the central and western states of India, while the north-eastern countries are still predominantly low-rate of clusters. This simulation technique helps public health professionals to identify risk areas for disease and take decisions in real time to control this viral disease.
      PubDate: 2021-02-06
       
 
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