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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Piney Point Data and Analysis</title>
<meta charset="utf-8" />
<meta name="author" content="Dr. Marcus Beck \bullet @fawda123 \bullet #TampaBayOpensci" />
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<textarea id="source">
class: center, middle, inverse, title-slide
# Piney Point Data and Analysis
### <a href="mailto:mbeck@tbep.org">Dr. Marcus Beck</a> <span class="math inline">•</span> <a href="https://twitter.com/fawda123">@fawda123</a> <span class="math inline">•</span> <a href="https://twitter.com/hashtag/TampaBayOpenSci?src=hashtag_click">#TampaBayOpensci</a>
### Tampa Bay Estuary Program
### 6/15/2021
---
class: left, top
.center[
# Goals for today
]
* Understand the available data
* Understand how to access the available data
* Analyses to date
* Develop analysis goals and plan of attack
* Meeting notes [here](https://docs.google.com/document/d/1gWFnNe5kPj5rLmgmrLbVlt2UsxfE4pX1v6Gfdh8HbZc/edit)
---
class: left, top
.center[
# Data in hand
]
* All raw data from partners are here (spreadsheet, GoogleDrive): https://bit.ly/3wtC5gz
* All compiled/formatted data are here (.RData, GitHub): https://github.com/tbep-tech/piney-point/tree/main/data)
---
class: left, top
.center[
# Data in hand
]
* __Water quality__: 17 parameters
* __Phytoplankton__: qualitative, quantitative
* __Seagrass, macroalgae__: Freq. occurrence by species, groups
* __Contaminants__: mostly metals
* __Baseline__: water quality and seagrass
* __Spatial__: monitoring stations by type
---
class: left, top
.center[
# Data in hand
]
* All data pulled from GoogleDrive and synthesized using [this](https://github.com/tbep-tech/piney-point/blob/main/R/dat_proc.R) R script
* Compile by source (e.g., DEP, Manatee Co., etc.)
* Standardize names, units, etc.
* Organize in tidy format for ease of analysis
* Each time data are updated, several automated [tests](https://github.com/tbep-tech/piney-point/tree/main/tests/testthat) are run to check accuracy, e.g.,
* Are the units, names correct?
* Are the station names matching between files?
* Are their duplicates, missing values?
---
class: left, top
.center[
# Getting the data
]
* All files are in .RData binary formats, access in R (I can make csv if needed)
* Files follow a loose naming convention, e.g.,
* `rswqdat`: response water quality data
* `bswqdat`: baseline water quality data
* `rstrndat`: response SAV, macroalgae transect data
* `rsphydat`: response phytoplankton data
* `rstrnpts`: response transect spatial data (points)
---
class: left, top
.center[
# Getting the data
]
* All files are "tidy" and able to join by station, source and/or date
```r
load(url('https://tbep-tech.github.io/piney-point/data/rswqdat.RData'))
rswqdat
```
```
## # A tibble: 7,065 x 12
## station date source var uni val qual bswqstation lbs nrmrng
## <chr> <date> <chr> <chr> <chr> <dbl> <chr> <chr> <chr> <chr>
## 1 16 2021-03-23 epchc do mgl 6.62 <NA> 16 DO (mg~ 6.07-6~
## 2 19 2021-03-23 epchc do mgl 6.56 <NA> 19 DO (mg~ 6.08-6~
## 3 21 2021-03-23 epchc do mgl 6.56 <NA> 202 DO (mg~ 6.29-7~
## 4 22 2021-03-23 epchc do mgl 7.7 <NA> 362 DO (mg~ 6.92-7~
## 5 23 2021-03-23 epchc do mgl 6.5 <NA> 23 DO (mg~ 6.01-6~
## 6 24 2021-03-23 epchc do mgl 6.82 <NA> 24 DO (mg~ 5.87-6~
## 7 25 2021-03-23 epchc do mgl 7.32 <NA> 25 DO (mg~ 6.34-8~
## 8 28 2021-03-23 epchc do mgl 6.66 <NA> 28 DO (mg~ 6.03-7~
## 9 82 2021-03-23 epchc do mgl 6.92 <NA> 82 DO (mg~ 6.17-7~
## 10 84 2021-03-23 epchc do mgl 6.64 <NA> 84 DO (mg~ 5.83-6~
## # ... with 7,055 more rows, and 2 more variables: lbunis <chr>, inrng <chr>
```
---
class: left, top
.center[
# Analyses to date
]
* Some preliminary stuff: [https://github.com/tbep-tech/piney-point-analysis](https://github.com/tbep-tech/piney-point-analysis)
* [Interpolation example](https://tbep-tech.github.io/piney-point-analysis/chlinterp): chlorophyll response
* [Trends synthesis](https://tbep-tech.github.io/piney-point-analysis/trends): poor attempt at broad analysis
* [Seasonal analysis](https://tbep-tech.github.io/piney-point-analysis/seasonal): deviation from baseline
* The data folder in this repo is synced daily with the source data on the Piney Point dashboard repo
* Open for GitHub Pull Requests
---
class: left, top
.center[
# Analysis goals
]
* We know there was an initial water column algal response
* We need to show other responses, the nutrients did not go away:
* Nutrient recycling between parts of the bay
* Broad vs local changes
* Deviation from baseline
* Link to modelling data
* Immediate concern is documenting impacts, but long-term plan is publication
</textarea>
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