From ccd289256c4f0ee55c297e4054e55e53243f360e Mon Sep 17 00:00:00 2001 From: "Albert R. Gnadt" <20693045+gnadt@users.noreply.github.com> Date: Thu, 18 Apr 2024 14:42:20 -0400 Subject: [PATCH 1/5] Final src updates for v1.2.0 --- src/MagNav.jl | 3 -- src/analysis_util.jl | 99 ++++++++++++++++++++------------------ src/get_XYZ.jl | 14 +++--- src/get_map.jl | 7 +-- src/map_functions.jl | 2 +- src/xyz2h5.jl | 22 ++++----- test/test_analysis_util.jl | 2 +- 7 files changed, 77 insertions(+), 72 deletions(-) diff --git a/src/MagNav.jl b/src/MagNav.jl index 01822b2..0c8d943 100644 --- a/src/MagNav.jl +++ b/src/MagNav.jl @@ -1,6 +1,3 @@ -""" -`MagNav`: airborne `Mag`netic anomaly `Nav`igation -""" module MagNav using ArchGDAL, CSV, Flux, ForwardDiff, HDF5, LazyArtifacts using LinearAlgebra, Plots, TOML, ZipFile, Zygote diff --git a/src/analysis_util.jl b/src/analysis_util.jl index b9635e6..59419f6 100644 --- a/src/analysis_util.jl +++ b/src/analysis_util.jl @@ -489,8 +489,8 @@ end # function get_x Get `x` data matrix from multiple flight lines, possibly multiple flights. **Arguments:** -- `lines`: selected line number(s) -- `df_line`: lookup table (DataFrame) of `lines` +- `lines`: selected line number(s) +- `df_line`: lookup table (DataFrame) of `lines` |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -498,7 +498,7 @@ Get `x` data matrix from multiple flight lines, possibly multiple flights. `t_start` |`Real` | start time of `line` to use [s] `t_end` |`Real` | end time of `line` to use [s] `map_name` |`Symbol`| (optional) name of magnetic anomaly map relevant to `line` -- `df_flight`: lookup table (DataFrame) of flight data files +- `df_flight`: lookup table (DataFrame) of flight data files |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -532,6 +532,8 @@ function get_x(lines, df_line::DataFrame, df_flight::DataFrame, l_window::Int = -1, silent::Bool = true) + lines = [lines;] # ensure vector + # check if lines are in df_line, remove if not for l in lines if !(l in df_line.line) @@ -540,13 +542,14 @@ function get_x(lines, df_line::DataFrame, df_flight::DataFrame, end end - # check if lines are duplicated in df_line, throw error if so - @assert length(lines) == length(unique(lines)) "df_line contains duplicated lines" + # check if lines contains any duplicates, throw error if so + @assert length(lines) == length(unique(lines)) "duplicate lines in $lines" - # check if flight data matches up - flights = [df_line.flight[df_line.line .== l][1] for l in lines] - xyz_sets = [df_flight.xyz_set[df_flight.flight .== f][1] for f in flights] - @assert all(xyz_sets.==xyz_sets[1]) "incompatible xyz_sets in df_flight" + # check if flight data matches up, throw error if not + flights = Symbol.(df_flight.flight) + flights_ = Symbol.([df_line.flight[df_line.line .== l][1] for l in lines]) + xyz_sets = [df_flight.xyz_set[flights .== f][1] for f in flights_] + @assert all(xyz_sets .== xyz_sets[1]) "incompatible xyz_sets in df_flight" # initial values flt_old = :FltInitial @@ -557,7 +560,7 @@ function get_x(lines, df_line::DataFrame, df_flight::DataFrame, l_segs = zeros(Int,length(lines)) for line in lines - flt = df_line.flight[df_line.line .== line][1] + flt = Symbol(df_line.flight[df_line.line .== line][1]) if flt != flt_old xyz = get_XYZ(flt,df_flight;reorient_vec=reorient_vec,silent=silent) end @@ -672,8 +675,8 @@ end # function get_y Get `y` target vector from multiple flight lines, possibly multiple flights. **Arguments:** -- `lines`: selected line number(s) -- `df_line`: lookup table (DataFrame) of `lines` +- `lines`: selected line number(s) +- `df_line`: lookup table (DataFrame) of `lines` |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -688,12 +691,12 @@ Get `y` target vector from multiple flight lines, possibly multiple flights. `xyz_type`|`Symbol`| subtype of `XYZ` to use for flight data {`:XYZ0`,`:XYZ1`,`:XYZ20`,`:XYZ21`} `xyz_set` |`Real` | flight dataset number (used to prevent improper mixing of datasets, such as different magnetometer locations) `xyz_file`|`String`| path/name of flight data CSV, HDF5, or MAT file (`.csv`, `.h5`, or `.mat` extension required) -- `df_map`: lookup table (DataFrame) of map data files +- `df_map`: lookup table (DataFrame) of map data files |**Field**|**Type**|**Description** |:--|:--|:-- `map_name`|`Symbol`| name of magnetic anomaly map `map_file`|`String`| path/name of map data HDF5 or MAT file (`.h5` or `.mat` extension required) -- `y_type`: (optional) `y` target type +- `y_type`: (optional) `y` target type - `:a` = anomaly field #1, compensated tail stinger total field scalar magnetometer measurements - `:b` = anomaly field #2, interpolated `magnetic anomaly map` values - `:c` = aircraft field #1, difference between uncompensated cabin total field scalar magnetometer measurements and interpolated `magnetic anomaly map` values @@ -727,8 +730,8 @@ function get_y(lines, df_line::DataFrame, df_flight::DataFrame, end end - # check if lines are duplicated in df_line, throw error if so - @assert length(lines) == length(unique(lines)) "df_line contains duplicated lines" + # check if lines contains any duplicates, throw error if so + @assert length(lines) == length(unique(lines)) "duplicate lines in $lines" # initial values flt_old = :FltInitial @@ -736,7 +739,7 @@ function get_y(lines, df_line::DataFrame, df_flight::DataFrame, xyz = nothing for line in lines - flt = df_line.flight[df_line.line .== line][1] + flt = Symbol(df_line.flight[df_line.line .== line][1]) if flt != flt_old xyz = get_XYZ(flt,df_flight;silent=silent) end @@ -746,7 +749,7 @@ function get_y(lines, df_line::DataFrame, df_flight::DataFrame, # map values along trajectory (if needed) if y_type in [:b,:c] - map_name = df_line.map_name[df_line.line .== line][1] + map_name = Symbol(df_line.map_name[df_line.line .== line][1]) map_val = get_map_val(get_map(map_name,df_map),xyz.traj,ind;α=200) else map_val = -1 @@ -798,8 +801,8 @@ from multiple flight lines, possibly multiple flights. Optionally return `Bt` & `B_dot` used to create the "external" Tolles-Lawson `A` matrix. **Arguments:** -- `lines`: selected line number(s) -- `df_line`: lookup table (DataFrame) of `lines` +- `lines`: selected line number(s) +- `df_line`: lookup table (DataFrame) of `lines` |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -814,14 +817,14 @@ from multiple flight lines, possibly multiple flights. Optionally return `Bt` `xyz_type`|`Symbol`| subtype of `XYZ` to use for flight data {`:XYZ0`,`:XYZ1`,`:XYZ20`,`:XYZ21`} `xyz_set` |`Real` | flight dataset number (used to prevent improper mixing of datasets, such as different magnetometer locations) `xyz_file`|`String`| path/name of flight data CSV, HDF5, or MAT file (`.csv`, `.h5`, or `.mat` extension required) -- `df_map`: lookup table (DataFrame) of map data files +- `df_map`: lookup table (DataFrame) of map data files |**Field**|**Type**|**Description** |:--|:--|:-- `map_name`|`Symbol`| name of magnetic anomaly map `map_file`|`String`| path/name of map data HDF5 or MAT file (`.h5` or `.mat` extension required) - `features_setup`: vector of features to include - `features_no_norm`: (optional) vector of features to not normalize -- `y_type`: (optional) `y` target type +- `y_type`: (optional) `y` target type - `:a` = anomaly field #1, compensated tail stinger total field scalar magnetometer measurements - `:b` = anomaly field #2, interpolated `magnetic anomaly map` values - `:c` = aircraft field #1, difference between uncompensated cabin total field scalar magnetometer measurements and interpolated `magnetic anomaly map` values @@ -872,6 +875,8 @@ function get_Axy(lines, df_line::DataFrame, return_B::Bool = false, silent::Bool = true) + lines = [lines;] # ensure vector + # check if lines are in df_line, remove if not for l in lines if !(l in df_line.line) @@ -880,13 +885,14 @@ function get_Axy(lines, df_line::DataFrame, end end - # check if lines are duplicated in df_line, throw error if so - @assert length(lines) == length(unique(lines)) "df_line contains duplicated lines" + # check if lines contains any duplicates, throw error if so + @assert length(lines) == length(unique(lines)) "duplicate lines in $lines" # check if flight data matches up, throw error if not - flights = [df_line.flight[df_line.line .== l][1] for l in lines] - xyz_sets = [df_flight.xyz_set[df_flight.flight .== f][1] for f in flights] - @assert all(xyz_sets.==xyz_sets[1]) "incompatible xyz_sets in df_flight" + flights = Symbol.(df_flight.flight) + flights_ = Symbol.([df_line.flight[df_line.line .== l][1] for l in lines]) + xyz_sets = [df_flight.xyz_set[flights .== f][1] for f in flights_] + @assert all(xyz_sets .== xyz_sets[1]) "incompatible xyz_sets in df_flight" # initial values flt_old = :FltInitial @@ -902,7 +908,7 @@ function get_Axy(lines, df_line::DataFrame, l_segs = zeros(Int,length(lines)) for line in lines - flt = df_line.flight[df_line.line .== line][1] + flt = Symbol(df_line.flight[df_line.line .== line][1]) if flt != flt_old xyz = get_XYZ(flt,df_flight;reorient_vec=reorient_vec,silent=silent) end @@ -930,7 +936,7 @@ function get_Axy(lines, df_line::DataFrame, # map values along trajectory (if needed) if y_type in [:b,:c] - map_name = df_line.map_name[df_line.line .== line][1] + map_name = Symbol(df_line.map_name[df_line.line .== line][1]) map_val = get_map_val(get_map(map_name,df_map),xyz.traj,ind;α=200) else map_val = -1 @@ -1657,9 +1663,9 @@ end # function get_ind Get BitVector of indices for further analysis via DataFrame lookup. **Arguments:** -- `xyz`: `XYZ` flight data struct -- `line`: line number -- `df_line`: lookup table (DataFrame) of `lines` +- `xyz`: `XYZ` flight data struct +- `line`: line number +- `df_line`: lookup table (DataFrame) of `lines` |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -1713,9 +1719,9 @@ end # function get_ind Get BitVector of selected data indices for further analysis via DataFrame lookup. **Arguments:** -- `xyz`: `XYZ` flight data struct -- `lines`: selected line number(s) -- `df_line`: lookup table (DataFrame) of `lines` +- `xyz`: `XYZ` flight data struct +- `lines`: selected line number(s) +- `df_line`: lookup table (DataFrame) of `lines` |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -1723,8 +1729,8 @@ Get BitVector of selected data indices for further analysis via DataFrame lookup `t_start` |`Real` | start time of `line` to use [s] `t_end` |`Real` | end time of `line` to use [s] `map_name` |`Symbol`| (optional) name of magnetic anomaly map relevant to `line` -- `splits`: (optional) data splits, must sum to 1 -- `l_window`: (optional) trim data by `N % l_window`, `-1` to ignore +- `splits`: (optional) data splits, must sum to 1 +- `l_window`: (optional) trim data by `N % l_window`, `-1` to ignore **Returns:** - `ind`: BitVector (or tuple of BitVector) of selected data indices @@ -2341,7 +2347,7 @@ end # function expand_range """ filter_events!(flight::Symbol, df_event::DataFrame; keyword::String = "", - tt_lim::Tuple = extrema(df_event.tt[df_event.flight .== flight])) + tt_lim::Tuple = ()) Filter a DataFrame of in-flight events to only contain relevant events. @@ -2354,25 +2360,26 @@ Filter a DataFrame of in-flight events to only contain relevant events. `tt` |`Real` | time of `event` [s] `event` |`String`| event description - `keyword`: (optional) keyword to search within events, case insensitive -- `tt_lim`: (optional) end time limit or length-`2` start & end time limits (inclusive) [s] +- `tt_lim`: (optional) length-`2` start & end time limits (inclusive) [s] **Returns:** - `nothing`: `df_event` is filtered """ function filter_events!(flight::Symbol, df_event::DataFrame; keyword::String = "", - tt_lim::Tuple = extrema(df_event.tt[df_event.flight .== flight])) - (t_start,t_end) = tt_lim - filter!(:flight => f -> (f == flight), df_event) + tt_lim::Tuple = ()) + ind = Symbol.(df_event.flight) .== flight + (t_start,t_end) = tt_lim == () ? extrema(df_event.tt[ind]) : tt_lim + filter!(:flight => f -> (Symbol(f) == flight), df_event) filter!(:tt => t -> (t_start <= t <= t_end), df_event) - filter!(:event => e -> occursin(keyword,lowercase(e)), df_event) + filter!(:event => e -> occursin(String(keyword),lowercase(e)), df_event) return (nothing) end # function filter_events! """ filter_events(flight::Symbol, df_event::DataFrame; keyword::String = "", - tt_lim::Tuple = extrema(df_event.tt[df_event.flight .== flight])) + tt_lim::Tuple = ()) Filter a DataFrame of in-flight events to only contain relevant events. @@ -2385,14 +2392,14 @@ Filter a DataFrame of in-flight events to only contain relevant events. `tt` |`Real` | time of `event` [s] `event` |`String`| event description - `keyword`: (optional) keyword to search within events, case insensitive -- `tt_lim`: (optional) end time limit or length-`2` start & end time limits (inclusive) [s] +- `tt_lim`: (optional) length-`2` start & end time limits (inclusive) [s] **Returns:** - `df_event`: lookup table (DataFrame) of in-flight events, filtered """ function filter_events(flight::Symbol, df_event::DataFrame; keyword::String = "", - tt_lim::Tuple = extrema(df_event.tt[df_event.flight .== flight])) + tt_lim::Tuple = ()) df_event = deepcopy(df_event) filter_events!(flight,df_event;keyword=keyword,tt_lim=tt_lim) return (df_event) diff --git a/src/get_XYZ.jl b/src/get_XYZ.jl index 033e6e4..3922cac 100644 --- a/src/get_XYZ.jl +++ b/src/get_XYZ.jl @@ -1436,8 +1436,8 @@ end # function get_XYZ21 Get `XYZ` flight data from saved HDF5 file via DataFrame lookup. **Arguments:** -- `flight`: flight name (e.g., `:Flt1001`) -- `df_flight`: lookup table (DataFrame) of flight data files +- `flight`: flight name (e.g., `:Flt1001`) +- `df_flight`: lookup table (DataFrame) of flight data files |**Field**|**Type**|**Description** |:--|:--|:-- `flight` |`Symbol`| flight name (e.g., `:Flt1001`) @@ -1456,9 +1456,9 @@ function get_XYZ(flight::Symbol, df_flight::DataFrame; reorient_vec::Bool = false, silent::Bool = false) - ind = findfirst(df_flight.flight .== flight) - xyz_type = df_flight.xyz_type[ind] - xyz_file = df_flight.xyz_file[ind] + ind = findfirst(Symbol.(df_flight.flight) .== flight) + xyz_file = String(df_flight.xyz_file[ind]) + xyz_type = Symbol(df_flight.xyz_type[ind]) if xyz_type == nameof(XYZ0) xyz = get_XYZ0( xyz_file;tt_sort=tt_sort,silent=silent) @@ -1495,7 +1495,7 @@ in opened HDF5 file. Prints out warning for any field that contains NaNs. - `val`: data returned for `field` """ function read_check(xyz::HDF5.File, field::Symbol, N::Int = 1, silent::Bool = false) - field = string(field) + field = String(field) if field in keys(xyz) val = read(xyz,field) else @@ -1520,7 +1520,7 @@ in opened HDF5 file. - `val`: string returned for `field` """ function read_check(xyz::HDF5.File, field::Symbol, default::String) - field = string(field) + field = String(field) val = field in keys(xyz) ? read(xyz,field) : default return (val) end # function read_check diff --git a/src/get_map.jl b/src/get_map.jl index 9a5d929..05157e5 100644 --- a/src/get_map.jl +++ b/src/get_map.jl @@ -132,8 +132,8 @@ Get map data from saved HDF5 or MAT file via DataFrame lookup. Maps are typically saved in `:deg` units, while `:rad` is used internally. **Arguments:** -- `map_name`: name of magnetic anomaly map -- `df_map`: lookup table (DataFrame) of map data HDF5 and/or MAT files +- `map_name`: name of magnetic anomaly map +- `df_map`: lookup table (DataFrame) of map data HDF5 and/or MAT files |**Field**|**Type**|**Description** |:--|:--|:-- `map_name`|`Symbol`| name of magnetic anomaly map @@ -149,7 +149,8 @@ function get_map(map_name::Symbol, df_map::DataFrame; map_info::String = "$map_name", map_units::Symbol = :rad, file_units::Symbol = :deg) - get_map(df_map.map_file[df_map.map_name .== map_name][1]; + ind = findfirst(Symbol.(df_map.map_name) .== map_name) + get_map(String(df_map.map_file[ind]); map_info = map_info, map_units = map_units, file_units = file_units) diff --git a/src/map_functions.jl b/src/map_functions.jl index 8de82b1..d6dcc9c 100644 --- a/src/map_functions.jl +++ b/src/map_functions.jl @@ -2285,7 +2285,7 @@ function plot_events!(p1::Plot, flight::Symbol, df_event::DataFrame; t_units == :min && (tt_lim = 60 .* tt_lim) df = filter_events(flight,df_event;keyword=keyword,tt_lim=tt_lim) for i in axes(df,1) - lab = show_lab ? string(df[i,:event]) : "" + lab = show_lab ? String(df[i,:event]) : "" t = df[i,:tt] t_units == :min && (t = t/60) plot_events!(p1,t-t0,lab;legend=legend) diff --git a/src/xyz2h5.jl b/src/xyz2h5.jl index 2429d77..713250e 100644 --- a/src/xyz2h5.jl +++ b/src/xyz2h5.jl @@ -223,8 +223,8 @@ Delete a data field from an HDF5 file. """ function delete_field(data_h5::String, field) data_h5 = add_extension(data_h5,".h5") - field = string(field) - file = h5open(data_h5,"r+") # read-write, preserve existing contents + field = String(field) + file = h5open(data_h5,"r+") # read-write, preserve existing contents delete_object(file,field) close(file) return (nothing) @@ -245,7 +245,7 @@ Write (add) a new data field and data in an HDF5 file. """ function write_field(data_h5::String, field, data) data_h5 = add_extension(data_h5,".h5") - field = string(field) + field = String(field) h5open(data_h5,"cw") do file # read-write, create file if not existing, preserve existing contents write(file,field,data) end @@ -267,7 +267,7 @@ Overwrite a data field and data in an HDF5 file. """ function overwrite_field(data_h5::String, field, data) data_h5 = add_extension(data_h5,".h5") - field = string(field) + field = String(field) delete_field(data_h5,field) write_field(data_h5,field,data) return (nothing) @@ -287,7 +287,7 @@ Read data for a data field in an HDF5 file. """ function read_field(data_h5::String, field) data_h5 = add_extension(data_h5,".h5") - field = string(field) + field = String(field) h5open(data_h5,"r") do file # read-only read(file,field) end @@ -307,10 +307,10 @@ Rename data field in an HDF5 file. - `nothing`: `field_old` is renamed `field_new` in `data_h5` """ function rename_field(data_h5::String, field_old, field_new) - data_h5 = add_extension(data_h5,".h5") - field_old = string(field_old) - field_new = string(field_new) - data = read_field(data_h5,field_old) + data_h5 = add_extension(data_h5,".h5") + field_old = String(field_old) + field_new = String(field_new) + data = read_field(data_h5,field_old) delete_field(data_h5,field_old) write_field(data_h5,field_new,data) return (nothing) @@ -329,9 +329,9 @@ Clear all data fields and data in an HDF5 file. """ function clear_fields(data_h5::String) data_h5 = add_extension(data_h5,".h5") - file = h5open(data_h5,"cw") # read-write, create file if not existing, preserve existing contents + file = h5open(data_h5,"cw") # read-write, create file if not existing, preserve existing contents close(file) - file = h5open(data_h5,"w") # read-write, destroy existing contents + file = h5open(data_h5,"w") # read-write, destroy existing contents close(file) return (nothing) end # function clear_fields diff --git a/test/test_analysis_util.jl b/test/test_analysis_util.jl index b967807..8fe91bc 100644 --- a/test/test_analysis_util.jl +++ b/test/test_analysis_util.jl @@ -265,7 +265,7 @@ end (model,data_norms,_,_) = krr_fit(x,y) @testset "krr tests" begin - @test krr_fit(x,y)[2:4] == krr_fit( x,y,data_norms )[2:4] + @test krr_fit(x,y)[2:4] == krr_fit( x,y;data_norms )[2:4] @test krr_fit(x,y)[3:4] == krr_test(x,y,data_norms,model)[1:2] end From 3a18333a6d1ff756ae888613c72ef3d99a0bb14e Mon Sep 17 00:00:00 2001 From: "Albert R. Gnadt" <20693045+gnadt@users.noreply.github.com> Date: Thu, 18 Apr 2024 16:32:37 -0400 Subject: [PATCH 2/5] Bugfix in map_combine(), it was not using fallback to fully fill --- src/map_functions.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/map_functions.jl b/src/map_functions.jl index d6dcc9c..7141e97 100644 --- a/src/map_functions.jl +++ b/src/map_functions.jl @@ -2989,7 +2989,7 @@ function map_combine(mapS::MapS, mapS_fallback::MapS = get_map(namad); map_map = zeros(eltype(mapS.map ),length.((map_yy,map_xx))) map_mask = falses(size(map_map)) - map_map[ ind_yy,ind_xx] = mapS.map + map_map[ ind_yy,ind_xx] = mapS.map .* mapS.mask map_mask[ind_yy,ind_xx] = mapS.mask (ind0,_,nx,ny) = map_params(map_map) for i = 1:nx, j = 1:ny From e2dc6f046299237762c861f29507e167f4e2085b Mon Sep 17 00:00:00 2001 From: "Albert R. Gnadt" <20693045+gnadt@users.noreply.github.com> Date: Thu, 18 Apr 2024 16:37:25 -0400 Subject: [PATCH 3/5] Added 2021 SGL flight data artifact, tests, & readmes --- Artifacts.toml | 8 +++ readmes/Flt2001_readme.txt | 10 +++ readmes/Flt2002_readme.txt | 9 +++ readmes/Flt2004_readme.txt | 16 +++++ readmes/Flt2005_readme.txt | 10 +++ readmes/Flt2006_readme.txt | 8 +++ readmes/Flt2007_readme.txt | 13 ++++ readmes/Flt2008_readme.txt | 13 ++++ readmes/Flt2015_readme.txt | 17 +++++ readmes/Flt2016_readme.txt | 17 +++++ readmes/Flt2017_readme.txt | 7 ++ readmes/datasheet_sgl_2021_train.pdf | Bin 0 -> 2903476 bytes readmes/sgl_2021_fields_readme.txt | 104 +++++++++++++++++++++++++++ src/MagNav.jl | 18 +++++ test/test_get_XYZ.jl | 23 +++++- 15 files changed, 270 insertions(+), 3 deletions(-) create mode 100644 readmes/Flt2001_readme.txt create mode 100644 readmes/Flt2002_readme.txt create mode 100644 readmes/Flt2004_readme.txt create mode 100644 readmes/Flt2005_readme.txt create mode 100644 readmes/Flt2006_readme.txt create mode 100644 readmes/Flt2007_readme.txt create mode 100644 readmes/Flt2008_readme.txt create mode 100644 readmes/Flt2015_readme.txt create mode 100644 readmes/Flt2016_readme.txt create mode 100644 readmes/Flt2017_readme.txt create mode 100644 readmes/datasheet_sgl_2021_train.pdf create mode 100755 readmes/sgl_2021_fields_readme.txt diff --git a/Artifacts.toml b/Artifacts.toml index e16f05e..40e433d 100644 --- a/Artifacts.toml +++ b/Artifacts.toml @@ -46,6 +46,14 @@ lazy = true sha256 = "9197872972a6f61dc755911e20324d0596e31e36eddd74cb02fdc6c883dc9e7b" url = "https://www.dropbox.com/scl/fi/1jiwgfjqz5xfz4ucdlwci/sgl_2020_train_v3.tar.gz?rlkey=q6xs74oizb15lam8ycqt89lky" +[sgl_2021_train] +git-tree-sha1 = "67c350d14287d4a3b2cdb75840fb466b36da9ad0" +lazy = true + + [[sgl_2021_train.download]] + sha256 = "284dce3ab2a75937c6c2b34b8232ed57ebfe25b803c7665f3114957f3a9ca5dc" + url = "https://www.dropbox.com/scl/fi/ogmgf1xys41c2tpsf2ue3/sgl_2021_train_v1.tar.gz?rlkey=ugqt05sda862gfz5szk5b7u7x" + [sgl_fields] git-tree-sha1 = "1d46dc48ad1026df78a42a24d743de6796aa52d8" lazy = false diff --git a/readmes/Flt2001_readme.txt b/readmes/Flt2001_readme.txt new file mode 100644 index 0000000..016840a --- /dev/null +++ b/readmes/Flt2001_readme.txt @@ -0,0 +1,10 @@ +Flight 2001 +13-Dec-2021 (doy = 347/365) + +Start Time End Time Line Number + 69396.00 70756.00 2001.00 Takeoff - start of calibration + 70756.00 72725.00 2001.01 Shawville calibration + 72725.00 72888.00 2001.02 Transit to Renfrew Free-Fly area + 72888.00 74967.00 2001.03 Renfrew Free-Fly at 10,000ft + 74967.00 76830.00 2001.04 Renfrew calibration at 10,000ft + 76830.00 77701.00 2001.05 Transit to base diff --git a/readmes/Flt2002_readme.txt b/readmes/Flt2002_readme.txt new file mode 100644 index 0000000..2f6654b --- /dev/null +++ b/readmes/Flt2002_readme.txt @@ -0,0 +1,9 @@ +Flight 2002 +14-Dec-2021 (doy = 348/365) + +Start Time End Time Line Number + 58264.00 60052.00 2002.00 Takeoff - Ferry to Kingston + 60052.00 64027.00 2002.01 N-S lake flight at 800m + 64815.00 69090.00 2002.02 N-S lake flight at 10,000ft + 69821.00 71456.00 2002.03 E-W lake flight at 800m + 75192.00 77484.00 2002.04 Transit to base diff --git a/readmes/Flt2004_readme.txt b/readmes/Flt2004_readme.txt new file mode 100644 index 0000000..1e71a82 --- /dev/null +++ b/readmes/Flt2004_readme.txt @@ -0,0 +1,16 @@ +Flight 2004 +19-Dec-2021 (doy = 353/365) + +Start Time End Time Line Number + 59168.00 60641.00 2001.06 Takeoff - start of calibration + 60641.00 61965.00 2001.07 Renfrew calibration at 10,000ft + 61965.00 63553.00 2001.08 Renfrew calibration at 6700ft + 63553.00 63672.00 2001.09 Renfrew calibration at 2600ft + 63672.00 66797.00 2001.10 Renfrew Free-Fly at 800m + 66797.00 67036.00 2001.11 Transit to Eastern Ontario + 67036.00 69719.00 2001.12 Eastern Ontario Free-Fly at 800m + 69719.00 71600.00 2001.13 Eastern Ontario calibration at 10,000ft + 71600.00 72871.00 2001.14 Eastern Ontario calibration at 6700ft + 72871.00 74070.00 2001.15 Eastern Ontario calibration at 2600ft + 74070.00 76137.00 2001.16 Eastern Ontario Free-Fly at 10,000ft + 76137.00 76475.00 2001.17 Transit to base diff --git a/readmes/Flt2005_readme.txt b/readmes/Flt2005_readme.txt new file mode 100644 index 0000000..a43e206 --- /dev/null +++ b/readmes/Flt2005_readme.txt @@ -0,0 +1,10 @@ +Flight 2005 +21-Dec-2021 (doy = 355/365) + +Start Time End Time Line Number + 54616.00 55252.00 2004.00 Takeoff & Transit + 55252.00 60613.00 2004.01 HOLD-OUT TESTING DATA + 60613.00 63359.00 2004.02 HOLD-OUT TESTING DATA + 63359.00 67236.00 2004.03 HOLD-OUT TESTING DATA + 68559.00 72394.00 2004.04 HOLD-OUT TESTING DATA + 72394.00 73414.00 2004.05 HOLD-OUT TESTING DATA diff --git a/readmes/Flt2006_readme.txt b/readmes/Flt2006_readme.txt new file mode 100644 index 0000000..6e9b10f --- /dev/null +++ b/readmes/Flt2006_readme.txt @@ -0,0 +1,8 @@ +Flight 2006 +23-Dec-2021 (doy = 357/365) + +Start Time End Time Line Number + 53987.00 55210.00 2003.00 Takeoff - Transit to low altitude calibrations + 55210.00 66575.00 2003.01 18 low altitude calibrations + 67565.00 71317.00 2004.06 Perth Free-Fly at 800m + 71459.00 75154.00 2004.07 Eastern Ontario Free-Fly on Drape diff --git a/readmes/Flt2007_readme.txt b/readmes/Flt2007_readme.txt new file mode 100644 index 0000000..17ee278 --- /dev/null +++ b/readmes/Flt2007_readme.txt @@ -0,0 +1,13 @@ +Flight 2007 +24-Dec-2021 (doy = 358/365) + +Start Time End Time Line Number + 66530.00 69686.00 2005.00 Takeoff - Transit to Perth lines + 69686.90 70398.70 2005.01 Perth line 4004.0 on Drape + 70399.00 70508.00 2005.02 Transit from Perth line 4004.0 to 4008.0 + 70508.50 71240.50 2005.03 Perth line 4008.0 on Drape + 71241.00 72980.00 2005.04 Transit from Perth line 4008.0 to 405.0 + 72980.50 73183.50 2005.05 Perth line 405.0 on Drape + 73184.00 73662.00 2005.06 Transit from Peth line 405.0 to 415.0 + 73662.50 73891.40 2005.07 Perth line 415.0 on Drape + 73892.00 74996.00 2005.08 Transit to base diff --git a/readmes/Flt2008_readme.txt b/readmes/Flt2008_readme.txt new file mode 100644 index 0000000..0f3ccdd --- /dev/null +++ b/readmes/Flt2008_readme.txt @@ -0,0 +1,13 @@ +Flight 2008 +27-Dec-2021 (doy = 361/365) + +Start Time End Time Line Number + 55255.00 56611.00 2001.18 Takeoff - Transit to Shawville box 1 + 56612.00 57363.00 2001.19 Box 1 started and aborted + 57363.00 57903.20 2001.20 Box 1 redone + 57904.00 57931.00 2001.21 Setup for box 2 + 57931.00 58445.40 2001.22 Box 2 + 58446.00 59894.00 2005.23 Transit to flight 2005 item 1 + 59894.00 60359.00 2005.24 Flight 2005 item 1 - large laser differences + 60359.00 62420.00 2005.25 Flying loop from flight 2005 line 1002.17 + 62420.00 63901.00 2005.26 Transit to base diff --git a/readmes/Flt2015_readme.txt b/readmes/Flt2015_readme.txt new file mode 100644 index 0000000..5ec5f14 --- /dev/null +++ b/readmes/Flt2015_readme.txt @@ -0,0 +1,17 @@ +Flight 2015 +03-Jan-2022 (doy = 3/365) + +Start Time End Time Line Number + 53118.00 54666.00 2003.02 Takeoff - Transit to high altitude calibrations + 54676.00 66250.00 2003.03 18 high altitude calibrations + 66250.00 67613.00 2005.09 Transit from calibrations to Perth line 415.0 + 67614.00 67791.30 2005.10 Perth line 415.0 at 2000m + 67792.00 68253.00 2005.11 Transit from Perth line 415.0 to 4004.0 + 68253.60 68831.20 2005.12 Perth line 4004.0 at 2000m + 68832.00 69296.00 2005.13 Transit from Peth line 4004.0 to 405.0 + 69296.20 69489.70 2005.14 Perth line 405.0 at 2000m + 69490.00 69919.00 2005.15 Transit from Perth line 405.0 to 4008.0 + 69919.30 70667.60 2005.16 Perth line 4008.0 at 2000m + 70668.00 70719.00 2005.17 Transit from Perth lines to figure 8s + 70719.90 75197.30 2005.18 1007.02 figure 8s at 2000m + 75198.00 76369.00 2005.19 Transit to base diff --git a/readmes/Flt2016_readme.txt b/readmes/Flt2016_readme.txt new file mode 100644 index 0000000..a0c13ab --- /dev/null +++ b/readmes/Flt2016_readme.txt @@ -0,0 +1,17 @@ +Flight 2016 +04-Jan-2022 (doy = 4/365) + +Start Time End Time Line Number + 55629.00 56773.00 2005.27 Takeoff - Transit to Perth lines + 56773.80 57021.90 2005.28 Perth line 415.0 at 800m + 57022.00 57580.00 2005.29 Transit from Perth line 415 to 4004 + 57580.20 58232.10 2005.30 Perth line 4004.0 at 800m + 58233.00 58619.00 2005.31 Transit from Perth line 4004 to 405 + 58619.80 58797.20 2005.32 Perth line 405.0 at 800m + 58798.00 59162.00 2005.33 Transit from Perth line 405 to 4008 + 59162.20 59905.40 2005.34 Perth line 4008.0 at 800m + 59906.00 60277.00 2005.35 Transit to figure 8s + 60277.00 64672.00 2005.36 1007.02 figure 8s at 800m + 64673.00 64918.00 2005.37 Transit from 800m to Drape + 64919.00 69596.00 2005.38 1007.02 figure 8s on Drape + 69596.00 71897.00 2005.39 Transit to base diff --git a/readmes/Flt2017_readme.txt b/readmes/Flt2017_readme.txt new file mode 100644 index 0000000..b923cee --- /dev/null +++ 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Data sampled at 10Hz. Includes +magnetic sensors, inertial navigation system, avionics, and electrical +currents and voltages. (WGS-84) is altitude above WGS-84 ellipsoid. + +================================================================================ + Field Units Description +-------------------------------------------------------------------------------- + line - line number + flight - flight number + year - year + doy - day of year + tt s fiducial seconds past midnight UTC + utm_x m x-coordinate, WGS-84 UTM zone 18N + utm_y m y-coordinate, WGS-84 UTM zone 18N + utm_z m z-coordinate, GPS altitude (WGS-84) + msl m z-coordinate, GPS altitude above EGM2008 Geoid + lat deg latitude, WGS-84 + lon deg longitude, WGS-84 + baro m barometric altimeter + ins_pitch deg INS-computed aircraft pitch + ins_roll deg INS-computed aircraft roll + ins_yaw deg INS-computed aircraft yaw + diurnal nT measured diurnal + mag_1_c nT Mag 1: compensated magnetic field + mag_1_lag nT Mag 1: lag-corrected magnetic field + mag_1_dc nT Mag 1: diurnal-corrected magnetic field + mag_1_igrf nT Mag 1: IGRF & diurnal-corrected magnetic field + mag_1_uc nT Mag 1: uncompensated magnetic field + mag_2_uc nT Mag 2: uncompensated magnetic field + mag_3_uc nT Mag 3: uncompensated magnetic field + mag_4_uc nT Mag 4: uncompensated magnetic field + mag_5_uc nT Mag 5: uncompensated magnetic field + flux_a_x nT Flux A: fluxgate x-axis + flux_a_y nT Flux A: fluxgate y-axis + flux_a_z nT Flux A: fluxgate z-axis + flux_a_t nT Flux A: fluxgate total + flux_b_x nT Flux B: fluxgate x-axis + flux_b_y nT Flux B: fluxgate y-axis + flux_b_z nT Flux B: fluxgate z-axis + flux_b_t nT Flux B: fluxgate total + flux_c_x nT Flux C: fluxgate x-axis + flux_c_y nT Flux C: fluxgate y-axis + flux_c_z nT Flux C: fluxgate z-axis + flux_c_t nT Flux C: fluxgate total + flux_d_x nT Flux D: fluxgate x-axis + flux_d_y nT Flux D: fluxgate y-axis + flux_d_z nT Flux D: fluxgate z-axis + flux_d_t nT Flux D: fluxgate total + ins_acc_x m/s^2 INS x-acceleration + ins_acc_y m/s^2 INS y-acceleration + ins_acc_z m/s^2 INS z-acceleration + ins_wander rad INS-computed wander angle (ccw from north) + ins_lat rad INS-computed latitude + ins_lon rad INS-computed longitude + ins_alt m INS-computed altitude (WGS-84) + ins_vn m/s INS-computed north velocity + ins_vw m/s INS-computed west velocity + ins_vu m/s INS-computed vertical (up) velocity + cur_com_1 A current sensor: aircraft radio 1 + cur_ac_hi A current sensor: air conditioner fan high + cur_ac_lo A current sensor: air conditioner fan low + cur_tank A current sensor: cabin fuel pump + cur_flap A current sensor: flap motor + cur_strb A current sensor: strobe lights + vol_block V voltage sensor: block + vol_back V voltage sensor: backplane + vol_cabt V voltage sensor: cabinet + vol_fan V voltage sensor: cooling fan +================================================================================ + +Notes on specific flight data fields: + +ins_pitch, ins_roll, ins_yaw +- convention: yaw clockwise from north, then pitch up, then roll to starboard + +ins_acc_x, ins_acc_y, ins_acc_z +- AIRGrav (airborne gravimeter) system (http://www.sgl.com/Gravity.html) +- 3-axis gimballed INS, run in local-level, wander-angle mechanization +- corrected for temperature, misalignment, and scale factor +- digitizers used for accelerometers are sigma-delta type and require low-pass + filtering to increase resolution +- ins_acc_x: nominally horizontal, ccw from north by ins_wander [rad] +- ins_acc_y: nominally horizontal, 90 [deg] ccw from ins_acc_x +- ins_acc_z: nominally vertical (up), includes gravity term (~navigation frame) + +ins_alt +- combined GPS/inertial altitude computed in real time, contains lag error + +================================================================================ + +Magnetometer/Fluxgate positions in reference to front seat rail [m] +- positive directions: forward (X), port (Y), up (Z) + + Sensor Description X Y Z +------------------------------------------------------------------- + Mag 1 Tail stinger -12.01 0 1.37 + Mag 2 Front cabin, aft of cockpit -0.60 -0.36 0 + Mag 3 Mid cabin, near INS -1.28 -0.36 0 + Mag 4 Rear cabin, floor -3.53 0 0 + Mag 5 Rear cabin, ceiling -3.79 0 1.20 + Flux A Mid cabin, near fuel tank -3.27 -0.60 0 + Flux B Tail, base of stinger -8.92 0 0.96 + Flux C Rear cabin, port -4.06 0.42 0 + Flux D Rear cabin, starboard -4.06 -0.42 0 diff --git a/src/MagNav.jl b/src/MagNav.jl index 0c8d943..3b39829 100644 --- a/src/MagNav.jl +++ b/src/MagNav.jl @@ -131,6 +131,24 @@ module MagNav """ sgl_2020_train() = joinpath(artifact"sgl_2020_train","sgl_2020_train") + """ + sgl_2021_train() + + Flight data from the 2021 SGL flight data collection - training portion, + contains: + - `Flt2001_train.h5` + - `Flt2002_train.h5` + - `Flt2004_train.h5` + - `Flt2005_train.h5` + - `Flt2006_train.h5` + - `Flt2007_train.h5` + - `Flt2008_train.h5` + - `Flt2015_train.h5` + - `Flt2016_train.h5` + - `Flt2017_train.h5` + """ + sgl_2021_train() = joinpath(artifact"sgl_2021_train","sgl_2021_train") + """ const emag2 diff --git a/test/test_get_XYZ.jl b/test/test_get_XYZ.jl index 660b7a8..481c971 100644 --- a/test/test_get_XYZ.jl +++ b/test/test_get_XYZ.jl @@ -163,9 +163,26 @@ df_flight = DataFrame(flight = flights, end end -df_flight[:,:xyz_type] .= :XYZ21 +xyz_dir = MagNav.sgl_2021_train() +flights = [:Flt2001,:Flt2002,:Flt2004,:Flt2005,:Flt2006, + :Flt2007,:Flt2008,:Flt2015,:Flt2016,:Flt2017] +xyz_types = repeat([:XYZ21],length(flights)) +xyz_sets = repeat([1],length(flights)) +xyz_files = [xyz_dir*"/$(f)_train.h5" for f in flights] +df_flight = DataFrame(flight = flights, + xyz_type = xyz_types, + xyz_set = xyz_sets, + xyz_file = xyz_files) @testset "get_XYZ21 tests" begin - @test_nowarn get_XYZ21(xyz_files[1];tt_sort=true,silent=true) - @test_nowarn get_XYZ(flights[1],df_flight;tt_sort=true,silent=true) + for xyz_file in xyz_files + xyz = get_XYZ21(xyz_file;tt_sort=true,silent=true) + @test xyz isa MagNav.XYZ21 + @test xyz.traj.N ≈ length(xyz.traj.lat) ≈ length(xyz.traj.lon) + end + for flight in flights + xyz = get_XYZ(flight,df_flight;tt_sort=true,reorient_vec=true,silent=true) + @test xyz isa MagNav.XYZ21 + @test xyz.traj.N ≈ length(xyz.traj.lat) ≈ length(xyz.traj.lon) + end end From eb7659f941939733c43d0b95dbaabe4fdb403e68 Mon Sep 17 00:00:00 2001 From: "Albert R. Gnadt" <20693045+gnadt@users.noreply.github.com> Date: Thu, 18 Apr 2024 16:37:41 -0400 Subject: [PATCH 4/5] Bump version --- Project.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Project.toml b/Project.toml index aa72cdd..af0046e 100644 --- a/Project.toml +++ b/Project.toml @@ -1,6 +1,6 @@ name = "MagNav" uuid = "f91b31a4-be4d-40e3-b767-4b8c09c10076" -version = "1.1.7" +version = "1.2.0" [deps] ArchGDAL = "c9ce4bd3-c3d5-55b8-8973-c0e20141b8c3" From 09705c8dc7a66044a112f5d269e2da6373954ece Mon Sep 17 00:00:00 2001 From: "Albert R. Gnadt" <20693045+gnadt@users.noreply.github.com> Date: Thu, 18 Apr 2024 16:38:49 -0400 Subject: [PATCH 5/5] Updated examples for v1.2.0 --- examples/pluto_fi.jl | 2675 +----------------------------------- examples/pluto_linear.jl | 2676 +----------------------------------- examples/pluto_maps.jl | 2773 ++------------------------------------ examples/pluto_model3.jl | 2675 +----------------------------------- examples/pluto_sgl.jl | 2675 +----------------------------------- examples/pluto_sim.jl | 2675 +----------------------------------- 6 files changed, 115 insertions(+), 16034 deletions(-) diff --git a/examples/pluto_fi.jl b/examples/pluto_fi.jl index b056c24..d34bd16 100644 --- a/examples/pluto_fi.jl +++ b/examples/pluto_fi.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.40 +# v0.19.41 using Markdown using InteractiveUtils @@ -162,2676 +162,10 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" [compat] -CSV = "~0.10.13" +CSV = "~0.10.14" DataFrames = "~1.6.1" -MagNav = "~1.1.7" -Plots = "~1.40.2" -""" - 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-[[deps.p7zip_jll]] -deps = ["Artifacts", "Libdl"] -uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0" -version = "17.4.0+2" - -[[deps.prrte_jll]] -deps = ["Artifacts", "Hwloc_jll", "JLLWrappers", "Libdl", "PMIx_jll", "libevent_jll"] -git-tree-sha1 = "5adb2d7a18a30280feb66cad6f1a1dfdca2dc7b0" -uuid = "eb928a42-fffd-568d-ab9c-3f5d54fc65b9" -version = "3.0.2+0" - -[[deps.snappy_jll]] -deps = ["Artifacts", "JLLWrappers", "LZO_jll", "Libdl", "Zlib_jll"] -git-tree-sha1 = "ab27636e7c8222f14b9318a983fcd89cf130d419" -uuid = "fe1e1685-f7be-5f59-ac9f-4ca204017dfd" -version = "1.1.10+0" - -[[deps.x264_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "4fea590b89e6ec504593146bf8b988b2c00922b2" -uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a" -version = "2021.5.5+0" - -[[deps.x265_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] -git-tree-sha1 = "ee567a171cce03570d77ad3a43e90218e38937a9" -uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76" -version = "3.5.0+0" - -[[deps.xkbcommon_jll]] -deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"] -git-tree-sha1 = "9c304562909ab2bab0262639bd4f444d7bc2be37" -uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd" -version = "1.4.1+1" +MagNav = "~1.2.0" +Plots = "~1.40.4" """ # ╔═╡ Cell order: @@ -2971,4 +304,3 @@ version = "1.4.1+1" # ╟─70d67179-a688-4401-8248-ad4a3256f5d4 # ╠═ee7a6b3e-cd13-44ba-87fa-ccd461c12921 # ╟─00000000-0000-0000-0000-000000000001 -# ╟─00000000-0000-0000-0000-000000000002 diff --git a/examples/pluto_maps.jl b/examples/pluto_maps.jl index d3577ae..478bc2a 100644 --- a/examples/pluto_maps.jl +++ b/examples/pluto_maps.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.40 +# v0.19.41 using Markdown using InteractiveUtils @@ -93,9 +93,9 @@ Eastern Ontario & NAMAD maps have been processed & saved previously. The full li " # ╔═╡ 663f7b8c-dfc6-445d-9c54-1141856f2a66 -begin # e_mask contains Boolean indices with "real" map data (not filled-in) - e_mapS_395 = get_map(:Eastern_395,df_map) # load map data - e_mask = trues(size(e_mapS_395.map)) # todo: update with v1.2.1 +begin # e_mask contains Boolean indices for "real" map data (not filled-in) + e_mapS_395 = get_map(:Eastern_395,df_map) # load map data + e_mask = e_mapS_395.mask end; # ╔═╡ 99405ae1-580a-4fd3-a860-13cc5b22b045 @@ -103,7 +103,7 @@ begin xx_lim = extrema(e_mapS_395.xx) .+ (-0.01,0.01) yy_lim = extrema(e_mapS_395.yy) .+ (-0.01,0.01) n_mapS_395 = upward_fft(map_trim(get_map(MagNav.namad), - xx_lim=xx_lim,yy_lim=yy_lim),e_mapS_395.alt) + xx_lim=xx_lim,yy_lim=yy_lim),e_mapS_395.alt) end; # ╔═╡ c111d83f-2883-4149-8ee2-53bf4b57640a @@ -116,9 +116,10 @@ md"## Plot all Ottawa area maps begin clims = (-500,500) dpi = 50 - p2 = plot_map(n_mapS_395;clims=clims,dpi=dpi,legend=false) # 395 m + p2 = plot_map(n_mapS_395;clims=clims,dpi=dpi,legend=false) # 395 m plot_map!(p2,e_mapS_395;clims=clims,dpi=dpi,map_color=:magma) # 395 m plot_map!(p2,p_mapS_800;clims=clims,dpi=dpi,map_color=:gray) # 800 m + p2 end # ╔═╡ 2d18bbeb-ad4e-4c5b-80a3-25bd99f45c73 @@ -151,12 +152,86 @@ begin e_mapS_395_ = deepcopy(e_mapS_395) e_mapS_395_.map[e_mapS_drp.alt .<= 395] .= 0 plot_map!(p4,e_mapS_395_;dpi=dpi) + p4 +end + +# ╔═╡ 504842a2-61e0-4154-a1e9-5182c97b6090 +md"## Plot expanded Eastern Ontario map + +The original map area is show with a black outline. During upward (or downward) continuation, the map is temporarily expanded with \"wrapped\" edges for a more accurate result. +" + +# ╔═╡ 39bdbe6a-52ae-44d2-8e80-2e7d2a75e322 +begin + using MagNav: get_step + (map_map,px,py) = MagNav.map_expand(e_mapS_395.map,200) + px_end = size(map_map,2) - length(e_mapS_395.xx) - px + py_end = size(map_map,1) - length(e_mapS_395.yy) - py + dx = get_step(e_mapS_395.xx) + dy = get_step(e_mapS_395.yy) + xx = [(e_mapS_395.xx[1]-dx*px):dx:(e_mapS_395.xx[end]+dx*px_end);] + yy = [(e_mapS_395.yy[1]-dy*py):dy:(e_mapS_395.yy[end]+dy*py_end);] + (lat,lon) = map_border(e_mapS_395;sort_border=true) # get map border + p5 = plot_map(map_map,xx,yy;dpi=dpi) + plot_path!(p5,lat,lon;path_color=:black) + p5 +end + +# ╔═╡ 8b5c030a-e0b9-4a7a-a901-a6967edbe70b +md"## Plot combined Eastern Ontario and NAMAD maps together + +2 maps can be combined at the same altitude. Here, the Eastern Ontario map is better (higher resolution), but the NAMAD map can be used in the case of navigation near the Eastern Ontario map border. Note that only the southeast part of the NAMAD map is accurate here, as the map coverage ends & the remainder is filled-in (e.g., the northwest corner). +" + +# ╔═╡ 9ed61357-346b-49de-a1ed-8849db041ade +begin + mapS_combined = map_combine(e_mapS_395,n_mapS_395) + p6 = plot_map(mapS_combined;dpi=dpi,use_mask=false) + plot_path!(p6,lat,lon;path_color=:black) + p6 +end + +# ╔═╡ 1b4d1092-1680-4676-a69d-6acc2549d588 +md"## Compare map values on border of Eastern Ontario and NAMAD maps + +Map values on 2 maps will be compared for the red path along the border. +" + +# ╔═╡ 1927f750-c3de-4c52-8a78-bb7f0f05c21e +begin + ind_trim = (rad2deg.(lon) .> -76) .& (rad2deg.(lat) .< 45) + lon_trim = lon[ind_trim] + lat_trim = lat[ind_trim] + p7 = plot_map(mapS_combined;dpi=dpi,use_mask=false,map_color=:gray) + plot_path!(p7,lat,lon;path_color=:black) + plot_path!(p7,lat_trim,lon_trim;path_color=:red) + p7 +end + +# ╔═╡ 8dd4196a-692f-4f4f-8f4a-6d8c39c4e3ac +md" First the `map_interpolate` function is used to create map interpolation objects, which are then evaluated at the given latitudes & longitudes (red path above). The (standard deviation) error of the map values is approximately 100 nT in this case. +" + +# ╔═╡ b332569d-28d6-48e3-b080-170e23c1aa3f +begin + e_itp_mapS = map_interpolate(e_mapS_395) + n_itp_mapS = map_interpolate(n_mapS_395) + e_mapS_val = e_itp_mapS.(lat_trim,lon_trim) + n_mapS_val = n_itp_mapS.(lat_trim,lon_trim) + mapS_err = round(Int,std(n_mapS_val - e_mapS_val)) # error end # ╔═╡ 7cf91a2c-73a3-4ad5-93f2-6f6908702441 md" The trend of the map values agree, as expected. " +# ╔═╡ 992dce6d-3bed-428c-84ca-2ee9bc9f0167 +begin + p8 = plot(ylab="map value [nT]",dpi=200) + plot!(p8,e_mapS_val,lab="Eastern") + plot!(p8,n_mapS_val,lab="NAMAD") +end + # ╔═╡ 18eecde1-3cc3-4775-a139-c77beffe394e md"## Create a 3D map @@ -178,8 +253,8 @@ md"The second way to create a 3D map is to combine multiple 2D maps using the `m begin p_mapS3D_2 = map_combine([e_mapS_395,p_mapS_800]; # 3D map n_levels = 2, - dx = MagNav.get_step(p_mapS_800.xx), - dy = MagNav.get_step(p_mapS_800.yy), + dx = get_step(p_mapS_800.xx), + dy = get_step(p_mapS_800.yy), xx_lim = extrema(p_mapS_800.xx), yy_lim = extrema(p_mapS_800.yy)); println(p_mapS3D_2.alt) # map altitude levels @@ -197,2676 +272,10 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" [compat] -CSV = "~0.10.13" +CSV = "~0.10.14" DataFrames = "~1.6.1" -MagNav = "~1.1.7" -Plots = "~1.40.2" -""" - -# ╔═╡ 00000000-0000-0000-0000-000000000002 -PLUTO_MANIFEST_TOML_CONTENTS = """ -# This file is machine-generated - 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