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Udemy Innovative Trend Analysis ITA for Time Series Data FreeCourseWeb

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Uploader: FreeCourseWeb
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Downloads: 42
Language: English
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Size: 2.2 GB
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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 1. Introduction.mp4 91.3 MB
  3. 1.3 Module 1.pptx 475.7 KB
  4. 2. Importance of Trend Analysis.mp4 18.6 MB
  5. 29HE.1943-5584.0000556.pdf 858.1 KB
  6. 3. Definition of Trend Analysis.mp4 16.7 MB
  7. 4. Relevance in Environmental Monitoring.mp4 12.1 MB
  8. 5. Types of Environmental Data.mp4 20.8 MB
  9. 6. Where to Obtain Data.mp4 38.1 MB
  10. An Integrated Approach for Delineating and Characterizing.pdf 503.8 KB
  11. Challenges of sustainable groundwater management for large scale.pdf 14.4 MB
  12. Comparison of Classical Mann–Kendal Test and Graphical Innovative Trend Analysis.pdf 1.9 MB
  13. Exploring driving forces of large‑scale unsustainable.pdf 4.6 MB
  14. Groundwater Depletion Zonation.pdf 1.1 MB
  15. Groundwater_depletion_susceptibility_zonation_using TOPSIS model.pdf 8.4 MB
  16. Investigation of spatio‑temporal variability of meteorological drought.pdf 9.2 MB
  17. Meteorological drought analysis using Standardized Precipitation.pdf 6.6 MB
  18. Probability and variability analysis of rainfall characteristics of Dinhata in Koch Behar district of West Bengal.pdf 633.2 KB
  19. Rainfall Insight in Bangladesh and India.pdf 3.0 MB
  20. Spatio-Temporal Changes of Rainfall.pdf 1.2 MB
  21. Spatio-temporal characterization of rainfall in Bangladesh an innovative trend and discrete wavelet transformation approaches.pdf 4.9 MB
  22. trendchange.pdf 133.1 KB
  23. 1. Introduction.mp4 6.7 MB
  24. 1.1 Module 2.pptx 464.5 KB
  25. 2. Set working directory and read excel and CSV file in R.mp4 62.4 MB
  26. 2.1 Code 1 Read Excel and CSV file.txt 725 bytes
  27. 3. Calculating Annual and Seasonal rainfall from monthly rainfall data.mp4 116.2 MB
  28. 3.1 Code 2 Convert Monthly to Annual and Seasonal.txt 1.4 KB
  29. 4. Separate excel file columns into multiple column in R.mp4 27.1 MB
  30. 4.1 Code 7 Separated data.txt 879 bytes
  31. 5. Combined multiple excel files into one in R.mp4 49.7 MB
  32. 5.1 Code 6 Combined data.txt 1.3 KB
  33. 6. Calculating missing data using MICE techniques in R.mp4 59.0 MB
  34. 6.1 Code 3 Missing data Mice.txt 1.2 KB
  35. 7. Preparing BOXPLOT to detect outliers of dataset in R.mp4 60.0 MB
  36. 7.1 Code 8 Boxplot.txt 1.3 KB
  37. 8. Calculating the descriptive Statistics in R.mp4 67.2 MB
  38. 1. Theoretical background of Innovative Trend modeling in R using Time Series data.mp4 91.4 MB
  39. 1.1 Module 3.pptx 464.6 KB
  40. 2. Calculation of ITA in R.mp4 74.8 MB
  41. 2.1 Code 4 ITA.txt 961 bytes
  42. 1. Visualization of Innovative Trends at 95% CL in Excel.mp4 356.5 MB
  43. 1.1 ITA_Graph.xlsx 18.8 KB
  44. 1.2 Module 4.pptx 722.9 KB
  45. 1. Preparation of data for IDW.mp4 72.3 MB
  46. 1.1 Module 5.pptx 457.5 KB
  47. 2. Transforming Excel Spreadsheet Data into Point Features in ArcGIS.mp4 74.6 MB
  48. 3. IDW for ITA slope in ArcGIS.mp4 80.5 MB
  49. 4. IDW for descriptive statistics in ArcGIS.mp4 56.7 MB
  50. 1. Preparation of Tables.mp4 272.3 MB
  51. 2. Preparation of Figures Part 1.mp4 147.8 MB
  52. 2.1 Module 6.pptx 543.4 KB
  53. 3. Preparation of Figures Part 2.mp4 207.3 MB
  54. 4. Layout of Manuscript.mp4 74.6 MB
  55. Bonus Resources.txt 386 bytes

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