NRM

Class Structure and Overview

• Introduction to Lab Processes
    - Overview of upcoming activities with Taylor.
    - Emphasis on understanding each lab process.

• Vegetation Sampling Calculations
    - Scheduled for next week.
    - Actual data usage in the final week.

• Data Collection
    - Next week focused on field data collection methods.
    - Statistics will be run on this data the following week, followed by discussions on statistical meanings.

• Potential Applications
    - Foresters and other fields will utilize similar statistical methods for data analysis.
    - Upcoming Excel-based lab session discussing various statistical measures.

Statistical Concepts to be Covered

• Averages
    - Mean, Median, Mode: Definitions
      - Mean: Average calculated by summing all data points and dividing by the number of points.
      - Median: Middle value when data points are ordered.
      - Mode: Most frequently occurring value in a dataset.
  
• Standard Deviation and Standard Error
    - Standard Deviation: Measures the amount of variation in a set of values, defined as
       ext{SD} = rac{ ext{sqrt}igg{(}rac{1}{N-1} imes ext{Sum}igg{(}x_i - ar{x}igg{)}^2 igg{)}}{N}
    - Standard Error: Estimates the variability of the sample mean, defined as
  $ext{SE} = \frac{ ext{SD}}{ ext{sqrt}(N)}$

Importance of Ethical Statistical Practices

• Misuse of Statistics
    - Statistics can be manipulated by incorrect inputs or data to produce misleading outcomes.
    - Importance of understanding data and statistics when presenting findings.

Job Preparation and Career Development

• Final Weeks of Class Overview
    - One session focused on job readiness, professional development, CV/resume writing, and networking.
    - Weekly assignment: Research job postings on platforms (e.g., LinkedIn, Indeed).
      - Discuss qualifications required vs. current qualifications.
  
• Engagement in Job Search from Early Stages
    - Encourage early engagement with career goals, even for freshmen.
    - Importance of meeting qualifications progressively throughout the academic journey.

Attendance Policies

• Attendance Tracking
    - Attendance recorded but not visible in grade book entries.
    - Clarification on attendance affecting final grades and how missed classes can impact scores.
    - Excused absences policy: Students allowed up to a couple of excused absences with proper communication.
    - Encouragement for students to communicate any discrepancies in attendance records.

Lab Assessment and Grading

• Lab Scores Submission
    - Lab assessment process, once finalized, will be communicated through Blackboard.
    - Clarification that final scores will combine class and lab performance into a singular score.

Introduction to GIS (Geographical Information Systems)

• Usage and Applications of GIS
    - Discussion on GIS capabilities and integration with GPS technology.
    - Inquiry about student projects and experiences with GIS.

• Sample Projects Discussed
    - Comparison of historical data on bird ranges using urbanized areas (Irene's project).
    - Survey of archaeological sites and environmental studies using spatial data.

Project Examples and Discussions

• Cahokia Project
    - Historical significance of Cahokia as a major pre-Columbian city with a population estimate of 10,000 to 40,000.
    - Use of LiDAR technology to study mound distributions and development impacts.
    - Mention of Monk's Mound and the volumetric analysis through GIS.

• Real-World Applications of GIS
    - Examples provided on how GIS is used in archaeological preservation and environmental monitoring.
    - Importance of data layering for comprehensive analyses (e.g., comparing historic and modern datasets).

Understanding Wildlife Management through GIS

• Elk Population Monitoring
    - GPS collaring of elk to track movement patterns as a case study in wildlife management.
    - Discussion on health impacts of recent natural disasters on wildlife and associated ecosystems.

Ethical Considerations in GIS Data Usage

• Privacy and Access to Sensitive Data
    - Discussion of confidentiality related to archaeological and endangered species data.
    - Explanation of the FOIA (Freedom of Information Act) implications on data access.

Classroom Engagement and Participation

• Participation Encouraged
    - Students urged to actively participate in GIS discussions and provide examples from their projects.
    - Opportunities for student collaboration in collecting and analyzing data in field settings.

Conclusion and Resources

• Future Directions
    - Emphasis on continuous exploration of GIS applications in various domains (e.g., archaeology, environmental sciences).
    - Suggestion to access additional resources and tools for hands-on experience with GIS technologies.