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Analysis — the statistical diagnostic of your plots

In a nutshell: Analysis records nothing. It gathers the Plots recorded on one or more parcels of a domain, over a period, and turns them into a statistical diagnostic: the mean value per hectare of each variable, how much it varies from one plot to the next, and the precision of your estimate. The whole thing exports as a Word report, for you to complete.

It is the stand diagnostic tool: it answers the question "what is the growing stock of this parcel?", but also "are my plots enough to say so?".


1. What Analysis computes

The unit of calculation is the plot: a Plot recorded during an observation (see Plot). A single observation can carry several Plots: each one counts as a plot. For each of them, the app already knows the basal area of the different compartments, the density, the regeneration and the deadwood.

Analysis lines these plot values up, variable by variable, and computes their statistics.

The first report available is the Stand condition diagnostic.


2. Choosing the scope

Open Analysis from the home screen. Below the banner, the screen reads from top to bottom.

  1. Domain: it is the one in the banner, at the top of the screen. To analyse another domain, change it in the banner: the list of parcels follows.
  2. Start date and End date: the last 30 days are suggested. Both dates are included — a Plot made on the end date counts.
  3. Parcels: only the parcels carrying at least one Plot during the period appear, each with its number of plots ("Plots: 6"). None is ticked at first: tap those to analyse, or Select all (then Deselect all to start again from scratch). The counter "Parcels selected: 2 / 5" sums it up.

If you change the period, the list follows: a parcel that no longer has a Plot in the new period leaves the list and is unticked; the others keep their state.

Below the list, the app shows how many plots the scope contains. Tap Stand condition diagnostic to run the report; the button stays greyed out as long as no parcel is ticked.

The Analysis screen: the domain banner, the two dates, the list of parcels with their number of plots and Select all, then the Stand condition diagnostic button.
The Analysis screen: the domain banner, the two dates, the list of parcels with their number of plots and Select all, then the Stand condition diagnostic button.

3. The Diagnostic

At the top, a reminder of the scope: the domain, each parcel with its number of plots, the period and the total. At the top right, ⇪ creates the Word report (§ 11) and the ↩ arrow takes you back to choosing the scope.

Then come the sections, always in this order:

  1. Basal area (m²/ha);
  2. Stem density (stems/ha);
  3. Deadwood (m³/ha);
  4. Established regeneration (stems/ha) and Regeneration: frequencies and limiting factors (%), only if at least one plot carries the Regen gesture;
  5. Flows between compartments, as soon as a plot has living timber;
  6. Species.

Sections to expand

All sections are closed on opening. Their header already gives the essentials: the key variable, its mean and its relative error, coloured (§ 10). Tap the header to expand the section, tap it again to collapse it.

SectionCollapsed header
Basal areaG Total · Mean · RE
Stem densityN Timber · Mean · RE
DeadwoodV total · Mean · RE
Established regenerationN established target · Mean · RE
Regeneration: frequencies…% stocked plots · Mean · RE
Flows between compartmentsthe production species, their G and the target G
Speciesthe most represented species, its G timber, its share and its status — for example "oak · G timber 14.2 · 63 % · Objective"

An expanded section begins with the Definition of its variable: expanded the first time you open the Diagnostic, then collapsed — tap Definition to read it again.

The Diagnostic on opening: the reminder of the scope, then the closed sections, each with its mean and its relative error in colour.
The Diagnostic on opening: the reminder of the scope, then the closed sections, each with its mean and its relative error in colour.

Reading a table

The first column stays fixed; swipe the table to the left to see the other variables. Long-press a statistic's name to show its definition.

A — marks a value that makes no sense for the sample: a standard deviation with a single plot, a coefficient of variation when the mean is zero. A column without any plot is not shown.


4. Basal area, density, deadwood

Basal area (m²/ha)

ColumnWhat it holds
G Timberthe living stems counted with the relascope (Timber gesture), all classes, unclassified included
G TGB, G GB, G BM, G PBthe same, by diameter class
G Coppicecoppice, estimated with the point-centred quarter method
G Polethe poles in the 10 m circle
G Deadtrees standing dead, counted with the relascope
G Totalthe total basal area: living timber, coppice, poles and standing dead
G Condemned*condemned trees — a subtotal of G Timber
The Basal area section expanded: its definition, then the statistics table with the G Total column, to swipe to see every column.
The Basal area section expanded: its definition, then the statistics table with the G Total column, to swipe to see every column.

Stem density (stems/ha)

The same columns, as stems per hectare: N Timber, N TGB, N GB, N BM, N PB, N Coppice, N Pole, N Dead.

A stem counted with the relascope without a diameter class counts in the basal area, but not in the density: its diameter is needed to convert it into stems per hectare. Their number is shown under the table.

Deadwood (m³/ha)

ColumnWhat it holds
V totalstanding and lying deadwood together, on the plots where the transects were walked
V standingthe volume of standing dead trees (11 × G Dead)
V lyingthe volume of the pieces crossed along the three transects
The Deadwood section expanded: the V total, V standing and V lying columns, and under the table the colour key of the relative error.
The Deadwood section expanded: the V total, V standing and V lying columns, and under the table the colour key of the relative error.

5. Zero or "not surveyed": a difference that matters

A plot where a population was surveyed and found absent counts as zero: it is information, and leaving it out would inflate the mean. A plot where it was not surveyed is simply left out of that column. That is why n can change from one column to the next.

PopulationCounts as zero if…Left out if…
Timberno stem counted— (the relascope sweep is assumed at every plot)
Polesyou pressed No polesno pole and no "No poles"
Coppiceall four quarters are emptyno coppice surveyed
Lying deadwoodthe transects are recorded emptyno transect walked
Regenerationthe circles are No seedlingsno Regen gesture, or all circles non-significant

Plots with truncated coppice (1 to 3 empty quarters) are counted, with an estimate corrected by the Warde and Petranka method: an empty quarter lowers the estimated density. Their number is shown under the table. A shoot of unknown diameter counts as D10, a shoot without a distance counts at 7.5 m.


6. Regeneration

The two Regeneration sections read the circles of the Regen gesture of the Plot. Each plot gives one value, the mean of its retained circles; the statistics then bear on the plots, as for G and N.

Only objective species qualify the regeneration, and for it only production reasons make a species objective: holly, rowan or limes, objective on biodiversity grounds alone, go with the accompanying species.

Established regeneration (stems/ha)

ColumnWhat it holds
N established targetthe established seedlings (H2 + H3) of the objective species
N established target floorthe same, computed on the minimum counts of the classes: it cannot overestimate, and it is the one compared with the benchmark of 250 stems/ha
N established companionthe established regeneration of the accompanying species, for information
N installed targetthe H1 class of the objective species: what will come next

Under the table, the Composition of established regeneration (H2 + H3) gives the established density by species, in Objective, Accompanying and No status blocks.

Regeneration: frequencies and limiting factors (%)

ColumnWhat it holds
% stocked plots100 if a circle carries established objective regeneration, 0 otherwise: the mean is the frequency, the indicator that matters most
% stocked circles, % S cover targetthe finer distribution, and the presence of small seedlings
% IC, % NC 3the share of circles where competition hinders (NC ≥ 2), or blocks (NC = 3)
% IG, % NG 2the share of circles where the objective species are browsed, or browsed above 50 %
% IFLthe share of circles blocked by competition or heavily browsed

Under the table:

The Regeneration: frequencies and limiting factors section expanded: the table, then the qualification level and the table of probable causes.The Regeneration: frequencies and limiting factors section expanded: the table, then the qualification level and the table of probable causes.
The Regeneration: frequencies and limiting factors section expanded: the table, then the qualification level and the table of probable causes.

7. Flows between compartments

This section draws, in a single diagram, all the compartments of the forest and the flows that link them: the Coppice doses the light at ground level; the Installed regen (S and H1 seedlings) passes 1.5 m to become Established regen (H2, H3), held back by game and competition; the established regeneration passes 7.5 cm and joins the Poles, which recruit the PB, then BM, GB, TGB, from which the Indicative harvest leaves; the Dead wood returns to the soil and prepares the germination beds.

Only production species are counted in it: regeneration made only of hornbeam is worth zero there. Coppice and deadwood remain counted over all their species — the first for its canopy cover, the second because it does not go to harvest.

Each box carries its value and its benchmark: coppice G ≤ 3 m²/ha, poles G from 1 to 3 m²/ha, deadwood V ≥ 30 m³/ha.

ColourMeaning
greenwithin benchmark
orangeto watch closely
redoutside benchmark
dotted greynot recorded, or not qualified

The timber flow and the target G

The timber frame carries the G of production timber and its target G. The latter combines all the production species of the parcel: the equilibrium range of each genus (oaks 14-19, beech 15-22, chestnut 15-25, pines 20-30, Douglas fir and firs 25-40 m²/ha) is weighted by its share of G, and the target G is the middle of the resulting range. Oaks 70 % and beech 30 % thus give 14.3-19.9, target 17.1. A production species with no known range (ash, wild cherry, maple…) does not enter this calculation.

Above the frame, the diagram recalls the distribution of the production species and the GB + TGB rule, whose target is half of G. Under the PB to TGB boxes, a grey band gives the G of the condemned trees, included in the timber G.

The Indicative harvest box shows the gap between the timber G and the target G when it exceeds it; otherwise, it reads "Capitalising: no harvest". It is not a recorded felling: the app does not record fellings.

Enlarging the diagram

Tap the diagram, or its magnifier, to open it full screen. Pinch to enlarge it (up to five times), drag it with your finger, double-tap to enlarge or return to scale. The ↩ arrow takes you back to the Diagnostic.


8. Species

The last section breaks the living timber down by species, over the whole scope: each value is the mean over all plots, a species absent from a plot counting as zero there. The species are those you entered; two species of the same genus are grouped under the genus row, the species indented.

Two tabs at the top of the table:

The Status column, just after the species, shows Objective, Accompanying or To be documented; "–" for a species not entered or unknown. The table is split into Objective, Accompanying, then No status blocks where applicable, each with its Subtotal; the Total row closes the table. Within each block, species are ranked from most to least represented.

The Species section expanded: the Basal area / Stem density tabs, the Objective and Accompanying blocks with their subtotals, and the Total row.The Species section expanded: the Basal area / Stem density tabs, the Objective and Accompanying blocks with their subtotals, and the Total row.
The Species section expanded: the Basal area / Stem density tabs, the Objective and Accompanying blocks with their subtotals, and the Total row.

9. The statistics, row by row

RowNameWhat it tells you
nCountthe number of plots used for the column
MeanMeanthe estimate of the variable per hectare for the scope
MedMedianhalf the plots above, half below; a large gap with the mean betrays a few extreme plots
σStandard deviationthe spread around the mean: about two plots in three lie within one standard deviation
MADMean absolute deviationthe average distance from a plot to the mean, less sensitive to extremes
CVCoefficient of variationthe standard deviation relative to the mean, in %: the higher it is, the more heterogeneous the stand
CI 95 %95 % confidence intervalthe true mean has 95 chances in 100 of lying within Mean ± CI
RE95 % relative errorthe CI relative to the mean, in %: the precision of your estimate
Max · MinExtreme valuesthe highest and the lowest plot
Q3 · Q1Quartilesthree quarters / one quarter of the plots below this value; half the plots lie in between
SEStandard error of the meanthe uncertainty on the mean itself (σ / √n)
IQRInterquartile rangeQ3 − Q1: the range of the middle half of the plots
n₀Zero plotshow many plots have none of this population
n req.Required plotshow many plots would be needed for a 10 % relative error

10. Precision: should you add plots?

The RE row, like the header of each section, is coloured:

ColourRelative errorReading
Greenup to 15 %a solid estimate
Orange15 to 30 %to be consolidated
Redabove 30 %too imprecise to decide on

The relative error falls as plots are added, but slowly: it takes four times as many plots to halve it. The n req. row does the maths for you — if it reads 19 and you have 12, seven more plots would bring the error down to 10 %.


11. The Word report

The Diagnostic is read on screen; the report puts it into a Word document (.docx) that you complete as you wish — comments, photos, conclusions — before including it in a field report, a marking or a management plan. It opens in Word, Pages, LibreOffice or Google Docs, on a computer as on the iPhone.

Creating the report

  1. Choose the scope (§ 2) and open the Diagnostic.
  2. Tap ⇪ at the top right, next to the back arrow.
  3. The share sheet opens: save the document in Files, send it by Mail or AirDrop, or open it directly in Word or Pages.

The report covers the scope shown — the domain, the ticked parcels and the period. It is written in the language of the app.

The ⇪ button of the Diagnostic, then the share sheet open on the Word report.
The ⇪ button of the Diagnostic, then the share sheet open on the Word report.

What it contains

PartContent
Headerthe name of the domain, the period, the selected parcels, the creation date and the app version
Domain summarymunicipality, reference point, manager and forester, number and area of the parcels, share of the area covered by the report, domain map, activity during the period (observations and surveys), table of the parcels of the domain with their number of plots
Summary by parcelone table per section, with one row per parcel and an All row: means, count, coloured relative error. This is the page that compares your parcels
Whole scopethe on-screen Diagnostic, all plots pooled, and its flow diagram
One part per parcelthe parcel map, its own diagnostic, its flow diagram, then its breakdown by species
Appendixthe method, the definition of each variable and each statistic

The footer of each page recalls the title, the app version and the page number. The sections follow the order of the screen; they are all expanded there.

The breakdown by species of each parcel

Each parcel part ends with its Breakdown by species: the table of the Species section, computed on the plots of the parcel, in basal area then in density, with the Status column and the Objective, Accompanying and No status blocks. This is where you read the composition specific to each parcel, which the screen, pooling the whole scope, does not show.

The domain map

It shows all the parcels of the domain: those that are part of the report are in green, with their name in bold; the others remain in grey. The black dots are the plots of the period. A legend, the scale and the north arrow accompany the map.

The map of each parcel: the timber distribution

At the top of a parcel's part, its map places each plot at its position. Each plot is a pie chart showing the timber distribution:

ColourClass
yellowPB — small timber
orangeBM — medium timber
dark orangeGB — large timber
brownTGB — very large timber

Each slice is the share of the class in the basal area of the plot's living stems: an almost brown pie chart flags a plot capitalised in large timber, a yellow pie chart a young plot. An empty circle is a plot with no classified stem. Stems counted without a diameter class do not enter the pie chart.

The maps are drawn from your parcels and your Plots, without a base map: the report is obtained offline, in the forest as in the office.


12. In short


What next