Interprets sequence of Water Tracker data in each unit to estimate whether the change in the extent of flooding from the previous observation represents a substantial increase or decrease.
Arguments
- df
Input tibble from
estimate_flood_extent()
.- delta
Numeric proportion change representing significant increase or decrease in flooding.
Details
For each unit, the proportion change in flooded area from the
previous observation date is calculated (flood_delta
) and the direction
and magnitude of change is categorized (flood_trend
) based on the input
value for delta
provided, as:
INCREASE
:flood_delta
>=delta
up
:delta
>flood_delta
> 00
:flood_delta
= 0down
: 0 >flood_delta
> -delta
DECREASE
: -delta
>=flood_delta
Examples
df = format_watertracker(sampledat) |> estimate_flood_extent()
estimate_flood_delta(df)
#> # A tibble: 5,474 × 25
#> wateryear month month_name year obsdate unit WETLAND CLASS AREA_HA
#> <dbl> <dbl> <fct> <dbl> <date> <chr> <chr> <chr> <dbl>
#> 1 2013 5 May 2013 2013-05-11 SampleWetl… Sample… mana… 37.1
#> 2 2013 5 May 2013 2013-05-27 SampleWetl… Sample… mana… 37.1
#> 3 2013 6 Jun 2013 2013-06-12 SampleWetl… Sample… mana… 37.1
#> 4 2013 6 Jun 2013 2013-06-28 SampleWetl… Sample… mana… 37.1
#> 5 2013 7 Jul 2013 2013-07-14 SampleWetl… Sample… mana… 37.1
#> 6 2013 7 Jul 2013 2013-07-30 SampleWetl… Sample… mana… 37.1
#> 7 2013 8 Aug 2013 2013-08-10 SampleWetl… Sample… mana… 37.1
#> 8 2013 8 Aug 2013 2013-08-19 SampleWetl… Sample… mana… 37.1
#> 9 2013 8 Aug 2013 2013-08-26 SampleWetl… Sample… mana… 37.1
#> 10 2013 9 Sep 2013 2013-09-04 SampleWetl… Sample… mana… 37.1
#> # ℹ 5,464 more rows
#> # ℹ 16 more variables: AREA_AC <dbl>, Mosaic <chr>, MosaicDateStart <date>,
#> # MosaicDateEnd <date>, ObservedPixels <dbl>, WaterPixels <dbl>,
#> # ObservedAreaHa <dbl>, ObservedAreaWaterHa <dbl>, PercentObserved <dbl>,
#> # PercentWater <dbl>, ObservedAreaWaterHa_pq <dbl>,
#> # ObservedAreaWater_adjust <dbl>, flood_prop <dbl>, flood_status <chr>,
#> # flood_delta <dbl>, flood_trend <chr>