Integrated Monitoring Networks Workgroup
Scope and Purpose
Manage CBP monitoring networks and coordinate with additional networks to address the new Chesapeake Watershed Agreement.
The CBP currently manages several water-quality monitoring networks including a watershed network and several estuary networks (water quality and SAV). The networks are complex with multiple partners collecting data. There is additional monitoring that needs to be conducted to address the outcomes of the new Bay Agreement. The STAR will work with the CBP Goal Teams to assess existing networks or identify gaps that can be utilized to assess the new outcomes.
The use of Citizen monitoring will be examined to help meet the expanded monitoring needs and applied as appropriate. STAR has begun the process to assess monitoring designs and coordination through the Building And Sustaining Integrated Networks (BASIN) process. The initial work is to evaluate the water-quality networks, followed by assessing options to address monitoring needed for outcomes in the new Bay Agreement.
Projects and Resources
R Statistics Course: Lesson 5
A Recording of this Lesson is available here: https://epa.connectsolutions.com/p2p4l3iidoc/
Lesson 5 Materials:
- Coretrend97 13 (1.39 MB)
- Ctstep (10.47 KB)
- Distfunct (4.29 KB)
- Mdctstep (4.34 MB)
- Mdctstepstrends (5.5 KB)
R Statistics Course: Lesson 4
A recording of this lesson is available here: https://epa.connectsolutions.com/p7wacvmkkow/
Below are Materials from Lesson 4.
- Processing Groups Lesson: Rbits007 (1.21 MB)
- Processing Groups RTF FIle: Rbits007 (119.78 KB)
- Processing Groups R File (code): Rbits007 (15.5 KB)
- Processing Groups R File (results): Rbits007 (7.95 KB)
R Statistics Course: Lesson 3
A recording of this lesson is available here: https://epa.connectsolutions.com/p6czned960r/
Below are Materials from Lesson 3.
- Data Lesson: Rbits005 (929.4 KB)
- Code for Data Lesson: Rbits005 (.R) (2.6 KB)
- Functions Lesson: Rbits006 (714.88 KB)
- Code for Functions Lesson: Rbits006 (.R) (3.59 KB)
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Alldielplots (13.99 KB)
R Statistics Course: Lesson 2
A recording of this lesson is available here: https://epa.connectsolutions.com/p2so6u7mli4/
Below are Materials from Lesson 2.
- Common Analysis Lesson: Rbits003 (2.6 MB)
- Code for Common Analysis Lesson: Rbits003 (.R) (4.42 KB)
- Factors Lesson: Rbits004 (1.46 MB)
- Code for Factors Lesson: Rbits004 (.R) (4.06 KB)
R Statistics Course: Lesson 1
Members of the Chesapeake Bay Monitoring Community are engaging in a course on R statistics software. This is a closed group.
If you have any questions, contact Lea Rubin (lrubin@chesapeakebay.net).
Below are Materials from Lesson 1.
Rbits are short Do-it-yourself lessons for practice between Lessons with Elgin Perry.
- Introduction to R by Elgin Perry (21.44 KB)
- Snook (.TDF) (3.13 KB)
- Snook (.R) (3.31 KB)
- Mat 06-08 (.CSV) (6.15 MB)
- Mat (.R) (254 B)
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An Introduction to R Manual (621.42 KB)
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Ecological Models and Data in R Book by Ben Bolker (5.57 MB)
- Reading Data: Rbits001 (569.32 KB)
- Manipulating Data: Rbits002 (858.94 KB)
Interim Guidance for Nontidal Network (NTN) WY2013 Field Blank and Duplicate Sample Collection
INTERIM GUIDANCE FOR NONTIDAL NETWORK WY2013 FIELD BLANK AND DUPLICATE SAMPLE COLLECTION
Draft Jan. 28, 2013
The Nontidal Data Upload and Evaluation Tool (DUET) will include pre‐programmed subroutines to generate
statistical measures of the completeness, precision and bias of nontidal network (NTN) monitoring data. These
statistics will enhance the ability of end users to comprehend, use and defend the data.
Programming for the required or “expected” number and types of water quality (WQ) and quality control
(QC) samples, as originally determined by the Nontidal Workgroup, has been difficult due to: 1)
insufficient detail in the guidance and 2) implementation differences among agencies, such as the
collection of additional WQ samples and different types of QC samples.
Therefore, the following “interim” guidance is intended to overcome these difficulties for the collection
and reporting of WY2013 nontidal data.
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Ntn wy2013 qc sample guide-3-12-13 app-d (856.77 KB)
Publications
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May 01, 2017
Chesapeake Bay Program Methods and Quality Assurance for Chesapeake Bay Water Quality Monitoring Programs
The purpose of this document is to provide field and laboratory methods and associated quality control requirements for use in Chesapeake Bay water quality monitoring programs, which will result in the generation of known...