Showing 581 - 600 results of 1,468 for search 'environmental statistics', query time: 0.07s Refine Results
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    Organizing Coastal Land Use for Urban Tourism Development (Case Study: Sorkhrood) by mehdi razjouyan, sadralddin motavali, gholamreza janbaz ghobadi

    Published 2020-06-01
    “…Then, using descriptive and inferential statistics, we analyze the relationships between the variables. …”
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    Article
  3. 583

    Motivators for using on-demand vehicle sharing services in Brazil by Fábio Violin

    Published 2021-01-01
    “…The methodological procedures included the use of combined methods of probabilistic sampling and pre-tests to design the research instrument and use of the IBM SPSS Statistics software, for data treatment which used, among others, exploratory and confirmatory factor analysis. …”
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    Article
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    La déforestation baisse en Amazonie. Vraiment ? by François-Michel Le Tourneau

    Published 2023-02-01
    “…The unexpected fall of deforestation in the Brazilian Amazon in 2022 has shown that deforestation phenomena are complex and that for many observers it is difficult to find their way in statistics and geospatial databases that are produced using different methodologies and distinct definitions of what deforestation is and considering in diverging ways various types of environmental damages. …”
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    Article
  7. 587

    Assessment of ecological resilience and its response mechanism to land spatial structure conflicts in China’s Southeast Coastal Areas by Yuemin Fan, Guoen Wei

    Published 2025-01-01
    “…As a key region in China’s reform and opening up, the China’s Southeast Coastal Areas (CSCA) is experiencing a rapid decline in ecological resilience and environmental risk resistance due to accelerated socioeconomic development. …”
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    Article
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    Analysis of the impact of space organization on the viability of the Karaj metropolitan core by behrouz hashemi, farzaneh sasanpor, ali movahed, Habiallah Fasihi

    Published 2023-12-01
    “…Data were analyzed using spatial statistics, spatial arrangement, and T-test and Friedman test. …”
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    Article
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    Evaluating the adoption of agile project management practices in Chinese technology companies: Risk management implications by Lei Cheng

    Published 2025-01-01
    “…Our quantitative analysis consisted of descriptive statistics, ANOVA and regression analysis while for the qualitative data we used thematic analysis. …”
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    Article
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    Knowledge and behavior: a study on adoption of best management practices among Sri Lankan shrimp farmers by Abeykoon Nirukshika D. F., Kono Hiroichi, Kato Keisuke, Sajiki Takahiro, Athambawa Jiffry

    Published 2025-01-01
    “…Shrimp farming in Sri Lanka is economically advantageous but faces challenges like disease outbreaks and environmental issues. The government has introduced Best Management Practices (BMPs) to ensure sustainability. …”
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    A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century by Endalkachew Abebe Kebede, Kevin Ong’are Oluoch, Stefan Siebert, Piyush Mehta, Sarah Hartman, Jonas Jägermeyr, Deepak Ray, Tariq Ali, Kate A. Brauman, Qinyu Deng, Wei Xie, Kyle Frankel Davis

    Published 2025-02-01
    “…Here we construct a new data library of subnational crop-specific irrigated and rainfed harvested area statistics and combine it with global gridded land cover products to develop a global gridded (5-arcminute) irrigated and rainfed cropped area (MIRCA-OS) dataset for the years 2000 to 2015 for 23 crop classes. …”
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    Challenges Faced by Refugees in Kanungu: A Case Study of Matanda Campsite in Kanungu District Uganda. by Ainembabazi, Roland

    Published 2024
    “…The study was guided by three key objectives: to investigate the socioeconomic challenges experienced by refugees, identify their political challenges, and explore the environmental challenges affecting them in the district. …”
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    Thesis
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    Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

    Published 2024-12-01
    “…The key intent of the survey is to accurately predict and improve crop yield by combining agricultural statistics with machine learning and deep learning models. …”
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    Article