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litvis |
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@import "css/litvis.less"
import VegaLite exposing (..)This document best viewed in litvis
Rural does not necessarily mean 'pastoral' or 'bucolic'. An opportunity to map upland mountain areas. Would like to explore 'peaks' as regions of interest rather than summit points.
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Digital elevation model available from Ordnance Survey Terrain 50, subset from tiles NY and SD. Shaded relief values calculated in LandSerf and exported as point file. Peak contours derived from LandSerf see Wood 2009 and converted into topoJSON files in mapshaper.
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'Wainwright' summits digitized manually and saved as
wainwrights.csv -
Lake boundaries assembled from OS Vectormap District. Tiles NY and SD. Shapefiles
SurfaceWater_Arealoaded into mapshaper; merged into single layer; large lakes selected; simplified and saved as topoJSON:merge-layers target=NY_SurfaceWater_Area,SD_SurfaceWater_Area` filter 'ID=="1D6236E4-E422-4A31-9817-26BCB74E1D50" || \ ID=="6C429FAB-C970-4036-8839-DF5DD615F723" || \ ID=="F141751D-9A95-44E2-9962-FF48B8B8E35C" || \ ID=="7E6C82DF-2D81-4BCF-B594-3FF7233E247B" || \ ID=="D911366D-7EB7-43C0-8318-C4735EE64CAA" || \ ID=="A97A4ABE-B6D5-42EB-AAD6-7382900AEFD2" || \ ID=="0FE65B84-87FA-4C03-8767-25A8C996BE04" || \ ID=="118B661E-F7FD-4730-9EBA-7AEC08C295C0" || \ ID=="89BB4176-7223-472B-8B47-75E3938F5CAC" || \ ID=="E3E23ED6-EC46-4061-9FA9-66A15F0C01A4" || \ ID=="CE7413D1-8990-47BA-A1F3-431F0997699A" ||\ ID=="37B40360-928E-402B-9F1D-3A46BCCF7501"' simplify 2% clean o format=topojson lakes.json
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Coastline selected from OS Boundary-Line.
high_water_polyline.shploaded into mapshaper, clipped to Cumbria region, simplified and saved as topoJSON:clip bbox=293000,483075,359875,545325 $ simplify 50% $ o format=topojson cumbriaCoast.json
Location of generated files:
path : String -> String
path file =
"https://gicentre.github.io/data/30dayMapChallenge/" ++ fileThe intention is to show the distribution of nested peak areas (smaller peaks sitting on top of larger ones) combined with a shaded relief map of the Cumbria region. Vega-Lite is not optimised for raster processing, but symbolising each raster cell with a square, coloured by relief shading value works well enough. Making the relief symbols transparent and placing them over the peak polygons provides a combined shaded polygon effect.
Lakes, fell names and coastline provide contextual information.
reliefMap : Spec
reliefMap =
let
w =
1400
h =
w * 313 / 346
cfg =
configure
<< configuration (coView [ vicoStroke Nothing ])
-- Data sources
dataRelief =
dataFromUrl (path "cumbriaRelief.csv") []
peakData1 =
dataFromUrl (path "peakContours1.json") [ topojsonFeature "peakContours" ]
peakData2 =
dataFromUrl (path "peakContours2.json") [ topojsonFeature "peakContours" ]
peakData3 =
dataFromUrl (path "peakContours3.json") [ topojsonFeature "peakContours" ]
peakData4 =
dataFromUrl (path "peakContours4.json") [ topojsonFeature "peakContours" ]
lakesData =
dataFromUrl (path "lakes.json") [ topojsonFeature "lakes" ]
summitData =
dataFromUrl (path "wainwrights.csv") [ parse [ ( "easting", foNum ), ( "northing", foNum ) ] ]
coastData =
dataFromUrl (path "cumbriaCoast.json") [ topojsonFeature "high_water_polyline" ]
-- Transformations
proj =
projection [ prType identityProjection, prReflectY True ]
labelTrans =
transform
<< calculateAs "datum.easting - 25" "easting2"
<< calculateAs "datum.northing + 25" "northing2"
-- layers
encRelief =
encoding
<< position X [ pName "easting", pQuant, pScale [ scDomain (doNums [ 292800, 361000 ]), scZero False, scNice niFalse ], pAxis [] ]
<< position Y [ pName "northing", pQuant, pScale [ scZero False, scNice niFalse ], pAxis [] ]
<< color [ mName "relief", mQuant, mScale [ scRange (raStrs [ "black", "white" ]) ], mLegend [] ]
specRelief =
asSpec [ dataRelief, encRelief [], square [ maSize 4.4, maOpacity 0.6 ] ]
peakSpec1 =
asSpec [ peakData1, geoshape [ maFill "rgb(104,56,25)", maFillOpacity 1, maStroke "black" ] ]
peakSpec2 =
asSpec [ peakData2, geoshape [ maFill "rgb(235,107,59)", maFillOpacity 1, maStroke "black" ] ]
peakSpec3 =
asSpec [ peakData3, geoshape [ maFill "rgb(238,162,96)", maFillOpacity 1, maStroke "black" ] ]
peakSpec4 =
asSpec [ peakData4, geoshape [ maFill "rgb(246,227,216)", maFillOpacity 1, maStroke "black" ] ]
peakSpec =
asSpec [ proj, layer [ peakSpec1, peakSpec2, peakSpec3, peakSpec4 ] ]
lakesSpec =
asSpec [ lakesData, proj, geoshape [] ]
coastSpec =
asSpec
[ coastData
, proj
, geoshape
[ maFilled False
, maStrokeWidth 12
, maStroke "rgb(198,198,198)"
, maStrokeJoin joRound
, maOpacity 1
]
]
coastSpec2 =
asSpec
[ coastData
, proj
, geoshape
[ maFilled False
, maStrokeWidth 2
, maStroke "rgb(125,140,157)"
, maStrokeJoin joRound
, maOpacity 0.7
]
]
encSummit =
encoding
<< position X [ pName "easting", pQuant, pScale [ scDomain (doNums [ 292800, 361000 ]), scZero False, scNice niFalse ], pAxis [] ]
<< position Y [ pName "northing", pQuant, pScale [ scZero False, scNice niFalse ], pAxis [] ]
<< text [ tName "name" ]
specSummit1 =
asSpec
[ summitData
, encSummit []
, textMark [ maFont "Stint Ultra Condensed", maColor "black", maOpacity 0.7, maFontSize 8 ]
]
encSummit2 =
encoding
<< position X [ pName "easting2", pQuant, pScale [ scDomain (doNums [ 292800, 361000 ]), scZero False, scNice niFalse ], pAxis [] ]
<< position Y [ pName "northing2", pQuant, pScale [ scZero False, scNice niFalse ], pAxis [] ]
<< text [ tName "name" ]
specSummit2 =
asSpec
[ summitData
, labelTrans []
, encSummit2 []
, textMark [ maFont "Stint Ultra Condensed", maColor "white", maOpacity 0.9, maFontSize 8 ]
]
in
toVegaLite
[ cfg []
, width w
, height h
, title "Cumbrian Fells"
[ tiFont "Fjalla One"
, tiFontSize 52
, tiOrient siBottom
, tiAnchor anStart
, tiOffset -100
, tiSubtitle "Peak hierarchy of at least 50m relative drop\nAll 'Wainwright' summits named."
, tiSubtitleFontSize 16
]
, layer [ lakesSpec, peakSpec, specRelief, specSummit1, specSummit2, coastSpec, coastSpec2 ]
]
