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water science
I. WATERSHED AND AQUATIC
    SCIENCE FUNDAMENTALS
1: Watershed science
and society
2/3: Lake ecology
4/5: Stream ecology
II. EXPERIMENTAL
    DESIGN
6: Problem and objective formulation
III. DATA COLLECTION
7: Watershed / land use surveys
8/9: Lake surveys
10/11: Stream surveys
12: Remote sensing and Internet data sources
IV. DATA MANAGEMENT
13: Quality assurance and quality control
14: Data types, sources,
and retrieval
15: Spreadsheets and nonspatial databases
16: GIS spatial databases
V. DATA ANALYSIS, INTERPRETATION,
        AND PRESENTATION
17: Elementary statistics
18: Applications of
regression to water
quality analysis
19: GIS / spatial analysis
20: Data visualization and presentation
21: Introduction to modeling
VI. MANAGEMENT POLICY
        AND OUTREACH
22: Regulations and compliance monitoring
23: Watershed management
24: Lake restoration
25: Stream restoration
26: Community education
and involvement
27: Educating decision-makers
 
 
  Unit IV Data Management


MODULE 13 QUALITY ASSURANCE AND QUALITY CONTROL

• Precision and accuracy (e.g., variance, spikes, data tracking and control charts, calibrations; Best Professional Judgment); closely linked to Module 17 Statistics
• Good Laboratory Practices
• Quality Assurance Project Plans (QAPPs)

MODULE 14 DATA TYPES, SOURCES AND RETRIEVAL

• Meta data
• Structuring spreadsheets and relational databases
• Essential information
• Spatial versus non-spatial data sets

MODULE 15 SPREADSHEETS AND NONSPATIAL DATABASES

• Software (e.g., Excel, Quattro Pro, Access)
• Using spreadsheets and databases to answer questions – case studies

- Querying spreadsheets and databases

• Survey of RDMS software

MODULE 16 GEOGRAPHIC INFORMATION SYSTEMS (GIS)

• Maps as data (points, lines, polygons, objects)
• Polygon versus raster-based
• Software survey
• Data input (GPS, scanning) and data delivery
• Spatial data sets and analysis functions

 

 

 

 

 

 

 

 

 

 

 

 

 

 


  


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date last updated: Monday March 29 2004