Unlock the power of environmental data with “Innovative Trend Analysis (ITA) for Time Series Data: Using Excel, R, and ArcGIS,” a course designed to advance your analytical skills in understanding and interpreting complex trends. Begin with an introduction to the key concepts of trend analysis in environmental monitoring and the use of powerful tools like Excel, R, and ArcGIS. Learn to manage and prepare data through cleaning, organization, and dealing with missing values and outliers, ensuring robust quality assurance for your analyses.
Advance to innovative trend modeling in R, where you will dive into environmental data to model and analyze trends, learning to calculate and interpret their significance. In Excel, gain expertise in visualizing trends and identifying hidden patterns, while understanding the importance of statistical significance.
Move beyond the basics with spatial trend analysis in ArcGIS, utilizing spatial statistics and interpolation to visualize geographical data trends. Finally, integrate your skills across platforms to prepare tables, figures, and interpret results, readying your work for publication.
This course is perfect for environmental scientists, data analysts, GIS specialists, and anyone eager to develop their expertise in trend analysis. With practical exercises, quizzes, and community support, you will emerge from this course ready to apply your new skills to real-world environmental data challenges.
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7
Introduction -
8
Set working directory and read excel and CSV file in R
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9
Calculating Annual and Seasonal rainfall from monthly rainfall data
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10
Calculating missing data using MICE techniques in R
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11
Separate excel file columns into multiple column in R
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12
Combined multiple excel files into one in R
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13
Preparing BOXPLOT to detect outliers of dataset in R
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14
Calculating the descriptive Statistics in R
Lessons:
