https://github.com/kaizadp/bbwm_moisture
HOBO data for soil moisture - Bear Brook Watershed in Maine
https://github.com/kaizadp/bbwm_moisture
data hobo-data soil-moisture
Last synced: about 1 month ago
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HOBO data for soil moisture - Bear Brook Watershed in Maine
- Host: GitHub
- URL: https://github.com/kaizadp/bbwm_moisture
- Owner: kaizadp
- Created: 2020-01-28T06:43:27.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-01-29T18:04:51.000Z (over 6 years ago)
- Last Synced: 2026-01-01T19:21:17.939Z (6 months ago)
- Topics: data, hobo-data, soil-moisture
- Language: R
- Size: 2.19 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
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README
---
title: " HOBO data for soil moisture - Bear Brook Watershed in Maine"
author: "Kaizad Patel"
output: github_document
---
Run: `r Sys.Date()`
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo=FALSE,message=FALSE,warning=FALSE,
collapse = TRUE,
comment = "#>" #, fig.path = "images/"
)
library(RColorBrewer)
source("1-moisture.R")
moisture_daily=readd(moisture_daily)
moisture_3hour=readd(moisture_3hour)
```
## metadata
|||
-----|---|
Site| The Bear Brook Watershed in Maine |
Location | |
Variable measured | soil moisture|
Units of measurement |m3/m3, volumetric moisture content|
Instruments used | HOBO |
Depth in soil | 10 cm, 25 cm in mineral soil|
Period of measurement | 2003-2016 |
Frequency of measurement | 3 hours|
Frequency of data | 3 hours, daily|
## 3-hour values
```{r}
# plots
ggplot(moisture_3hour, aes(x=DATETIME, y = Moisture_m3_m3, color=Watershed))+
geom_point(size=0.5)+
ylim(0,0.4)+
scale_color_brewer(palette = "Dark2")+
facet_grid(DEPTH~Forest)+theme_bw()+
ggtitle("3-hour values")
```
## daily values
```{r}
# plots
ggplot(moisture_daily, aes(x=DATE, y = Moisture_m3_m3, color=Watershed))+
geom_point(size=0.5,alpha=1)+
ylim(0,0.4)+
scale_color_brewer(palette = "Dark2")+
facet_grid(DEPTH~Forest)+theme_bw()+
ggtitle("Daily values")
```
## number of data points
```{r}
summary =
moisture_daily %>%
group_by(Forest, DEPTH,DATE) %>%
dplyr::summarise(n = n())
ggplot(summary, aes(x=DATE, y = n))+
geom_point(size=0.5,alpha=1)+
facet_grid(DEPTH~Forest)
```