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chillR

Description

chillR aims to provide…

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CRAN Version

Installation

Install the released version of chillR from CRAN with install.packages("chillR").

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Version

Install

install.packages('chillR')

Monthly Downloads

944

Version

0.75

License

GPL-3

Maintainer

Last Published

November 27th, 2023

Functions in chillR (0.75)

Empirical_hourly_temperatures

Empirical daily temperature prediction

Weather data for Klein-Altendorf, Germany

Cherry bloom data for Klein-Altendorf, Germany

Date to YEARMODA conversion

Count days between two Julian dates

Calculation of cumulative heat according to the Growing Degree Hours Model (alternative function name)

PhenoFlex_GDHwrapper

PhenoFlex_GDHwrapper

UniForce_Wrapper

UniForce_Wrapper

PhenoFlex_fixedDynModelwrapper

PhenoFlex_fixedDynModelwrapper

Check whether a Julian date is before or after another one

Check whether a Julian date is after another one

StepChill_Wrapper

StepChill_Wrapper

PhenoFlex_GAUSSwrapper

PhenoFlex_GAUSSwrapper

Root Mean Square Error of Prediction (RMSEP)

UnifiedModel_Wrapper

UnifiedModel_Wrapper

Winters_hours_gaps

Hourly temperature data sample

PLS_chill_force

Partial Least Squares analysis of phenology vs. accumulated daily chill and heat

bootstrap.phenologyFit

bootstrap.phenologyFit

YEARMODA to Date conversion

c.bootstrap_phenologyFit

Concatenate bootstrap_phenologyfit objects

california_stations

Weather stations in California

PhenoFlex_fixedDynModelGAUSSwrapper

PhenoFlex_fixedDynModelGAUSSwrapper

Add date/time column to data.frame

check_temperature_record

Check a daily or hourly temperature record for compliance with chillR's standards

check_temperature_scenario

Check temperature scenario for consistency

color_bar_maker

Make color scheme for bar plots in outputs of the chillR package

download_baseline_cmip6_ecmwfr

Download historical CMIP6 Data via the ecwfr package

bloom_prediction

Bloom prediction from chilling and forcing requirements, assumed to be fulfilled strictly in sequence

UniChill_Wrapper

UniChill_Wrapper

convert_scen_information

Converts list of change scenarios to data.frame or vice versa

Get the last date from a phenology record

Download weather data from online database

extract_cmip6_data

Unpacks and formats downloaded CMIP6 data

extract_differences_between_characters

Identify shared leading or trailing character strings

download_cmip6_ecmwfr

Download CMIP6 Data via the ecwfr package

List, download or convert to chillR format data from the CIMIS database

Partial Least Squares analysis of phenology vs. daily mean temperatures

Residual Prediction Deviation (RPD)

getClimateWizardData

Extract climate data from the ClimateWizard database

Calculation of cumulative chill according to the Utah Model

chillR: statistical methods for phenology analysis in temperate fruit trees

identify_common_string

Identify shared leading or trailing character strings

Calculate VIP scores for PLS regression

bloom_prediction3

Bloom prediction from chilling and forcing requirements, assumed to be fulfilled strictly in sequence - version 3

Ratio of Performance to InterQuartile distance (RPIQ)

List, download or convert to chillR format data from the Deutscher Wetterdienst database

getClimateWizard_scenarios

Extract mutltiple scenarios from the ClimateWizard database

interpolate_gaps

Linear gap interpolation

Calculation of daily chill and heat accumulation

bloom_prediction2

Bloom prediction from chilling and forcing requirements, assumed to be fulfilled strictly in sequence - version 2

make_california_UCIPM_station_list

Makes a list of the UC IPM weather stations

Compute sunrise and sunset times, and daylength

load_temperature_scenarios

Load temperature scenarios

handle_gsod_old

Deprecated version of handle_gsod. List, download or convert to chillR format data from the Global Summary of the Day database

make_chill_plot

Plot climate metrics over time

chile_agromet2chillR

Convert a weather file downloaded from the Chilean Agromet website to chillR format

plot_climateWizard_scenarios

Plot mutltiple ClimateWizard scenarios obtained with getClimateWizard_scenarios

make_daily_chill_figures

Produce image of daily chill and heat accumulation

make_multi_pheno_trend_plot

Combine multiple phenology contour plots in one figure

load_ClimateWizard_scenarios

Load climate wizard scenarios

make_climate_scenario

Make climate scenario

make_climate_scenario_from_files

Make climate scenario from multiple saved csv files

plot_climate_scenarios

Plot multiple chilling scenario groups (or for other metrics)

patch_daily_temps

Patch gaps in daily weather records - updated

make_pheno_trend_plot

Make image showing phenology response to temperatures during two phases

phenologyFitter

phenologyFitter

Prediction based on a running mean

Running mean of a vector

temperature_generation

Generation of synthetic temperature records

Make Julian Day in dataframe

Calculation of cumulative temperature metric according to a user-defined stepwise weight function

interpolate_gaps_hourly

Interpolate gaps in hourly temperature records

Weather data fixer and quality checker

temperature_scenario_baseline_adjustment

Make temperature scenario relative to a particular baseline

plot_phenology_trends

Visualizing phenology responses to temperatures during two phases

make_all_day_table

Fill in missing days in incomplete time series

Calculation of chilling and heat from hourly temperature records

patch_daily_temperatures

Patch gaps in daily weather records

plot.bootstrap_phenologyFit

plot bootstrap_phenologyFit

summary.phenologyFit

summary phenologyFit

make_daily_chill_plot

Plot daily climate metric accumulation throughout the year

Generate Seasons

Plot historic and future scenarios for climate-related metrics (ggplot2 version)

summary.bootstrap_phenologyFit

summary.bootstrap_phenologyFit

Leap year finder

chilling_hourtable

Add chilling and heat accumulation to table of hourly temperatures

plot.phenologyFit

plot phenologyFit

gen_rel_change_scenario

Generates relative climate change scenarios based on extracted CMIP6 data

ordered_climate_list

Sort files in a folder, so that numbers are in ascending sequence

save_temperature_scenarios

Save temperature scenarios generated with temperature_generation

Calculation of climatic metrics from hourly temperature records

extract_temperatures_from_grids

Extract temperature information from gridded dataset

select_by_file_extension

Select string that end in a particular way (e.g. a certain file extension)

List, download or convert to chillR format data from the Global Summary of the Day database

Test if all character vectors in a string are equal

filter_temperatures

Quality filter for temperature records

tempResponse_daily_list

Calculation of climatic metrics from lists of daily temperature records

List, download or convert to chillR format data from the Deutscher Wetterdienst database

tempResponse_hourtable

Add metric accumulation to table of hourly temperatures

Convert downloaded weather to chillR format

List, download or convert to chillR format data from the UCIPM database

print.phenologyFit

print phenologyFit

stage_transitions

Compute what it takes to advance through development stages

temperature_scenario_from_records

Make monthly temperature scenario from historic records

Read csv table regardless of whether it is a true csv or the French type

Output of Partial Least Squares analysis results of phenology vs. daily mean temperatures

stack_hourly_temps

Stacking of hourly temperatures

make_hourly_temps

Make hourly temperature record from daily data

predict.bootstrap_phenologyFit

predict bootstrap_phenologyFit

make_daily_chill_plot2

Plot daily climate metric accumulation throughout the year (2)

predict.phenologyFit

predict phenologyFit

DynModel_driver

DynModel_driver

Empirical_daily_temperature_curve

Empirical daily temperature curve

Calculation of cumulative heat according to the Growing Degree Day Model

Calculation of cumulative heat according to the Growing Degree Hours Model

Calculation of cumulative chill according to the Chilling Hours Model