Package index • mhwci

All functions

avg_duration_by_decade_sql(): sql to summary scenario table

avg_duration_by_decade_truncated_sql(): create SQL tocalculate average duration of marine heatwaves by point in space, grouped by decade

check_mhw_connection(): check if connection works

create_partition_df(): create table of start/end dates for year gaps

create_partition_table(): create temporary partitions table

decades: main decades to use for analysis

duration__histogram(): create history for a raster list

duration_by_decade_sql(): sql for parititioning wave durations by decade

duration_by_decades(): calc mean duration by decade

durations_by_decade_raster(): rasters of global heatwave duration per decade

generate_duration_plots(): plot a series of MHW tables as maps and histograms

get_dbfile(): path to database

make_view(): given a sql statement create a view in db

metric_by_decade_sql(): SQL template for all MHW metrics

metrics_by_decade_raster(): rasters of global heatwave duration per decade

mhw_connect(): get connection to mhw database

mhw_metric_summary_sql(): SQL template to calculate summary of any MHW metric

mhw_table(): get dbplyr table connection

partition_mhw_events(): assign partition to each event

partition_mhw_events_truncated(): mhw_partitioning.R this is a work in progress (WIP) and not complete table of truncated mhw metrics by partitions

partition_mhw_events_truncated_sql(): sql for partitioning

percentile_cutoff_value(): find value for percentile cut-off

plot_decade_rasters(): plot of world rasters by layer, no outlier management

plot_rasters_squish_outliers(): palette_name must be https://dieghernan.github.io/tidyterra/reference/grass_db.html, and you can preview the colors on https://grass.osgeo.org/grass83/manuals/r.colors.html (but get the name from the tidyterra reference) plot terra rasters, but manage outliers

sql_head(): get first few rows from a sql statement

summary_by_decades_raster(): summarize a metric grouped by decades 2040 2050 2060

summary_metrics_raster(): create raster of global marine heatwave summary metric per location

table_head(): get a few first rows of database table

windowing_overlap(): create overlapping subsets of a sequence/vector