Analyze a Trip by Image Metadata
Using pictures and their metadata, you can perform geo computations to visualize and analyze a walking tour of Lisbon, Portugal.
Import and analyze a collection of photos taken during a visit.
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files = Map[
img \[Function] ExampleData[img, "FilePath"],
ExampleData[{"TestImageSet", "Lisbon2016"}]
];
Gather all the information required in an association.
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labels = {"Thumbnail", "DateTime", "GeoPosition"};
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dataSet = Dataset@Map[
file \[Function]
AssociationThread[
labels ->
Import[file, {labels}, IncludeMetaInformation -> False]],
files
]
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Visualize locations where images where taken.
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gps = dataSet[[All, "GeoPosition"]];
GeoGraphics[GeoMarker@gps, GeoRangePadding -> Quantity[100, "Meters"]]
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Compute the walking distance to take all pictures and return.
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closeLoop = path \[Function] Append[path, First[path]];
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sortedGPS =
closeLoop@
Normal@dataSet[SortBy["DateTime"], Take[#GeoPosition, All, 2] &];
UnitConvert[
TravelDistance[sortedGPS, TravelMethod -> "Walking"], "Kilometers"]
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Visualize the path to take all photos in temporal order.
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travel = TravelDirections[sortedGPS, TravelMethod -> "Walking"]
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Animate[
GeoGraphics[{
Style[Normal@travel["Dataset"][1 ;; n, "Path"], Thick, Red],
dataSet[All,
GeoMarker[Take[#GeoPosition, All, 2], #Thumbnail] &]},
GeoRangePadding -> Quantity[200, "Meters"]
],
{n, 1, Length[travel["Dataset"]] + 1, 1}
]
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Compute and visualize the shortest path that could have been used instead.
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optimalPath =
FindShortestTour[Normal@sortedGPS,
DistanceFunction -> (QuantityMagnitude[
TravelDistance[{#1, #2}, TravelMethod -> "Walking"],
"Kilometer"] &)]
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Quantity[First@optimalPath, "Kilometers"]
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shortestGPS = sortedGPS[[Last@optimalPath]];
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shortestTravel =
TravelDirections[shortestGPS, TravelMethod -> "Walking"]
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Animate[
GeoGraphics[{
Style[Normal@shortestTravel["Dataset"][1 ;; n, "Path"], Thick,
Blue],
dataSet[All,
GeoMarker[Take[#GeoPosition, All, 2], #Thumbnail] &]},
GeoRangePadding -> Quantity[200, "Meters"]
],
{n, 1, Length[shortestTravel["Dataset"]] + 1, 1}
]
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