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Here you can see more than 800 points, each describing an observation of an individual bird. This data is in the form of KML, a sort of XML document from Google for spatial data.
I want to know which points have “pair” or “female” in the description text nodes using R. This way, I can quickly make and update a .csv in Excel of only the paired birds (based on color bands).
Even if there was a description string search function in Google Earth Pro (or other organization-centric GIS/waypoint software), this method is more
robust, as I can work immediately with the output as a data frame in R, rather than a list of results.
First, open an instance of QGIS. I am running ~2.8 on OSX. Add a vector layer of your KML. “Command-A” in the point dialog to select all before import!
Next, under “Vector”, select “Merge vector layers” via Data Management Tools.
Select CSV and elect to save the file instead of use a temporary/scratch file (this is a common error).
Open your csv in Excel for verification!
The R bit:
# query for paired birds data <- data.frame(fread("Bird_CSV.csv")) pair_rows <- contains("pair", vars = data$description) fem_rows <- contains("fem", vars = data$description) result <- combine(pair_rows, fem_rows) result <- data[result,] write_csv(result, "Paired_Birds.csv")
I’ll let the photos to the talking: welcome to my world! 🙂 !!!!
To see this post in context: Click here!
The field season has officially started in Northern NH!
Male Common Yellowthroat warbler (COYE): This fellow is defending a small territory in a patch of open thicket. These warblers rely on early succession forest- patches of substrate that haven’t really grown in yet- to build cryptic, ground-level nests. They develop complex systems to divert/confuse predators away from their nests.
Female Black-throated Blue Warbler (BTBW): I was lucky to see this female. She is paired with a male who defends a large mature forest territory. They have quite a few BTBW neighbors, which makes for a lot of skirmishes among the males over land. The females are often silent and move very fast…
Male Mourning Warbler (MOWA): This is a rare bird here. Even more amazing, it is defending a territory in our research site- and trying to chase out a male COYE while doing so. The two species “share” resources, which means thy can’t stand each other. 🙂 Each time the male COYE sings near the MOWA, it gets berated and chased away- and vice versa. It appears the COYE isn’t budging either, probably because it hasn’t had this domestic, neighborly problem before.
Visit http://www.transscendsurvival.org/ to see this post in context! 🙂
Keeping track of birds is tricky!
Click here for our team’s workflow with Compass 55. From the Kml, we go into Google Earth Pro – ArcGIS Desktop (arcmap). QGIS is sometimes used too.
We need power! While doing bird research in the wilds of northern NH, it became evident we needed electricity to power computers, big cameras, and phones/GPS units.
Below is a table of the system and our expected electricity needs:
|System||Solar 100w||35ah universal (x2)|
|Ah per day:||33.33333333||35||TOTAL Ah Reserve:||70|
|Wh in:||400||420||TOTAL Wh Reserve:||840|
|Sun Hour / Multiplier||4||2|
|Need/Day||Wh||multiplier||consump. in Wh =||259.36|
*The milk crate system below can charge a 100 watt MacBook Pro around 8-9 times from being completely empty.
**Remember: V*A=W, W/V=A, and Watts over time is Wh.
While somewhat of a historical entry: (repost)
Below are some of the few photos I took while birding on may 5, 2018- GLOBAL BIG DAY! Be sure to read about it here: https://ebird.org/news/global-big-day-5-may-2018
Myself and my father contributed 64 species, including the below Rose-breasted Grosbeak, Female Northern waterthrush, Common Yellowthroat warbler, and Northern Parula.
See this post in context: