jlehtoma

library(raster)

# Määritä tulostiedosto
results_csv <- "original_areas.csv"
# Aseta työkansio
setwd("[TYÖKANSIO]")
# Listaa kaikki tif-tiedostot kansiossa
feature_files <- list.files(pattern = "*.tif$")

# Apufunktio solulukumäärien laskemiseen

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library(gdalUtils)
library(rgdal)
library(rwfs)
library(sp)

dsn_espoo <- "WFS:http://kartat.espoo.fi/TeklaOgcWeb/WFS.ashx?service=WFS&REQUEST=GetCapabilities&maxFeatures=100000"
dsn_vantaa <- "WFS:http://gis.vantaa.fi/geoserver/wfs"

# Variant 1 ----------------------------------------------------------------

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3. Please select the workshop you are attending. Events are listed in chronological order.
 
4. Will this be your first time attending a Data Carpentry workshop (as a learner)?
 
5. Which of the following describes your current status?
    Undergraduate student
    Graduate Student
    Post-doc
    Faculty
    Industry

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Mount the datadisk in the VM

In this section we show you how you can start using the new disk.

1. On the UI, from the menu at the left pane select the Virtual Machines page under Virtual Resources. Create a new VM by selecting the Template you created in the previous step.
2. Once the VM is in RUNNING state, ssh as root to the machine using your SSH-key.
3. Run fdisk -l and see that your new datablock is there (Disk /dev/vdb: 10.5 GB).
4. Mount the datadisk in the VM:

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GNoTPA-expansion
├── 001_GNoTPA_caz_noadmu_2000_ecor
├── 002_GNoTPA_abf_noadmu_2000_ecor
├── 101_GNoTPA_caz_noadmu_2040_ecor
├── 102_GNoTPA_abf_noadmu_2040_ecor
├── GNoTPA_output
│   ├── 001_caz_noadmu_2000_ecor
│   │   ├── 001_caz_noadmu_2000_ecor.CAZ_MDE.curves.oct.txt
│   │   ├── 001_caz_noadmu_2000_ecor.CAZ_MDE.curves.txt
│   │   ├── 001_caz_noadmu_2000_ecor.CAZ_MDE.features_info.txt

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### Keybase proof

I hereby claim:

  * I am jlehtoma on github.
  * I am jlehtoma (https://keybase.io/jlehtoma) on keybase.
  * I have a public key whose fingerprint is 724B 39EE 612B B0A1 E518  5087 44DF 9D93 ED41 6438

To claim this, I am signing this object:

jlehtoma

Small English - Finnish vocabulary for spatial conservation planning

Translating the vocabulary is a work in progress, and not every word has a well-established Finnish translation. Suggestions to develop the translations further are welcome!

English	Finnish
adaptive management	sopeutuva hoito; mukautuva hoito
adequacy	riittävä edustavuus, suojelutason riittävyys
ambiguity	monimerkityksisyys
benefit	hyöty

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# Originally from http://rfunctions.blogspot.fi/2015/03/bivariate-maps-bivariatemap-function.html

# Install:
#install.packages("classInt")
#install.packages("raster")
#install.packages("rgdal")
#install.packages("dismo")
#install.packages("XML")
#install.packages("maps")
#install.packages("sp")

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war <- function(x) {
  suppressWarnings(w <- warning("There's a problem with: ", x))
  message(w)
  return(x)
}

for (i in 1:5) {
  Sys.sleep(1)
  war(i)
}

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library(dplyr)
library(tidyr)
library(maps)
library(rworldmap)
library(mapdata)
library(rgdal)
library(shape)

medians <- read.csv("wintershifts_median.csv", header = TRUE, sep = ";",
                    stringsAsFactors = FALSE)