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Update README
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@edwardlavender
edwardlavender committed Dec 1, 2024
1 parent af9af7c commit b5405e0
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64 changes: 32 additions & 32 deletions README.md
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Expand Up @@ -276,14 +276,14 @@ containers_bwd = CSV.read(joinpath("data", "containers-bwd.csv"), DataFrame);
first(containers_bwd, 6)
#> 6×6 DataFrame
#> Row │ timestamp obs sensor_id receiver_x receiver_y radius
#> │ String31 Int64 Int64 Float64 Float64 Int64
#> ─────┼───────────────────────────────────────────────────────────────────────
#> 1 │ 2016-03-17 01:52:00 1 26 7.09242e5 6.25311e6 1500
#> 2 │ 2016-03-17 01:54:00 1 26 7.09242e5 6.25311e6 1500
#> 3 │ 2016-03-17 01:56:00 1 26 7.09242e5 6.25311e6 1500
#> 4 │ 2016-03-17 01:58:00 1 26 7.09242e5 6.25311e6 2250
#> 5 │ 2016-03-17 02:00:00 1 26 7.09242e5 6.25311e6 1500
#> 6 │ 2016-03-17 02:02:00 1 26 7.09242e5 6.25311e6 1500
#> │ String31 Int64 Int64 Float64 Float64 Float64
#> ─────┼────────────────────────────────────────────────────────────────────────
#> 1 │ 2016-03-17 01:52:00 1 26 7.09242e5 6.25311e6 1500.0
#> 2 │ 2016-03-17 01:54:00 1 26 7.09242e5 6.25311e6 1500.0
#> 3 │ 2016-03-17 01:56:00 1 26 7.09242e5 6.25311e6 1500.0
#> 4 │ 2016-03-17 01:58:00 1 26 7.09242e5 6.25311e6 2250.0
#> 5 │ 2016-03-17 02:00:00 1 26 7.09242e5 6.25311e6 1500.0
#> 6 │ 2016-03-17 02:02:00 1 26 7.09242e5 6.25311e6 1500.0

# Read archival (depth) observations
archival = CSV.read(joinpath("data", "archival.csv"), DataFrame);
Expand Down Expand Up @@ -339,27 +339,27 @@ datasets_bwd = [acoustics, containers_bwd, archival]
#> 12959 │ 2016-03-18T01:48:00 31 0 7.09742e5 6.25331e6
#> 12960 │ 2016-03-18T01:48:00 33 0 7.07342e5 6.25341e6
#> 3 columns and 12945 rows omitted
#> 360×6 DataFrame
#> Row │ timestamp obs sensor_id receiver_x receiver_y radius
#> │ DateTime Int64 Int64 Float64 Float64 Int64
#> ─────┼───────────────────────────────────────────────────────────────────────
#> 1 │ 2016-03-17T01:52:00 1 26 7.09242e5 6.25311e6 1500
#> 2 │ 2016-03-17T01:54:00 1 26 7.09242e5 6.25311e6 1500
#> 3 │ 2016-03-17T01:56:00 1 26 7.09242e5 6.25311e6 1500
#> 4 │ 2016-03-17T01:58:00 1 26 7.09242e5 6.25311e6 2250
#> 5 │ 2016-03-17T02:00:00 1 26 7.09242e5 6.25311e6 1500
#> 6 │ 2016-03-17T02:02:00 1 26 7.09242e5 6.25311e6 1500
#> 7 │ 2016-03-17T02:04:00 1 26 7.09242e5 6.25311e6 2250
#> 8 │ 2016-03-17T02:06:00 1 26 7.09242e5 6.25311e6 1500
#> ⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮
#> 354 │ 2016-03-17T13:14:00 1 26 7.09242e5 6.25311e6 95250
#> 355 │ 2016-03-17T13:16:00 1 26 7.09242e5 6.25311e6 96000
#> 356 │ 2016-03-17T13:18:00 1 26 7.09242e5 6.25311e6 96750
#> 357 │ 2016-03-17T13:20:00 1 26 7.09242e5 6.25311e6 97500
#> 358 │ 2016-03-17T13:22:00 1 26 7.09242e5 6.25311e6 98250
#> 359 │ 2016-03-17T13:24:00 1 26 7.09242e5 6.25311e6 99000
#> 360 │ 2016-03-17T13:26:00 1 26 7.09242e5 6.25311e6 99750
#> 345 rows omitted
#> 731×6 DataFrame
#> Row │ timestamp obs sensor_id receiver_x receiver_y radius ⋯
#> │ DateTime Int64 Int64 Float64 Float64 Float64 ⋯
#> ─────┼──────────────────────────────────────────────────────────────────────────
#> 1 │ 2016-03-17T01:52:00 1 26 7.09242e5 6.25311e6 1500.0 ⋯
#> 2 │ 2016-03-17T01:54:00 1 26 7.09242e5 6.25311e6 1500.0
#> 3 │ 2016-03-17T01:56:00 1 26 7.09242e5 6.25311e6 1500.0
#> 4 │ 2016-03-17T01:58:00 1 26 7.09242e5 6.25311e6 2250.0
#> 5 │ 2016-03-17T02:00:00 1 26 7.09242e5 6.25311e6 1500.0 ⋯
#> 6 │ 2016-03-17T02:02:00 1 26 7.09242e5 6.25311e6 1500.0
#> 7 │ 2016-03-17T02:04:00 1 26 7.09242e5 6.25311e6 2250.0
#> 8 │ 2016-03-17T02:06:00 1 26 7.09242e5 6.25311e6 1500.0
#> ⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
#> 725 │ 2016-03-18T01:36:00 1 26 7.09242e5 6.25311e6 373500.0 ⋯
#> 726 │ 2016-03-18T01:38:00 1 26 7.09242e5 6.25311e6 374250.0
#> 727 │ 2016-03-18T01:40:00 1 26 7.09242e5 6.25311e6 375000.0
#> 728 │ 2016-03-18T01:42:00 1 26 7.09242e5 6.25311e6 375750.0
#> 729 │ 2016-03-18T01:44:00 1 26 7.09242e5 6.25311e6 376500.0 ⋯
#> 730 │ 2016-03-18T01:46:00 1 26 7.09242e5 6.25311e6 377250.0
#> 731 │ 2016-03-18T01:48:00 1 26 7.09242e5 6.25311e6 378000.0
#> 716 rows omitted
#> 720×5 DataFrame
#> Row │ timestamp sensor_id obs depth_sigma depth_deep_eps
#> │ DateTime Int64 Float64 Int64 Int64
Expand Down Expand Up @@ -427,7 +427,7 @@ fwd = particle_filter(timeline = timeline,
xinit = xinit,
yobs = yobs_fwd,
model_move = model_move,
n_record = 500,
n_record = 1000,
direction = "forward");

# Simulate initial states for the backward filter
Expand All @@ -447,7 +447,7 @@ bwd = particle_filter(timeline = timeline,
xinit = xinit,
yobs = yobs_bwd,
model_move = model_move,
n_record = 500,
n_record = 1000,
direction = "backward");
```

Expand All @@ -468,7 +468,7 @@ and after each step):

``` julia
# (optional) Set vmap to improve speed here
n_particle = 100;
n_particle = 750;
smo = two_filter_smoother(timeline = timeline,
xfwd = fwd.state[1:n_particle, :],
xbwd = bwd.state[1:n_particle, :],
Expand Down
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