Yönlendirilen çizgi segmentlerinin karmaşasını görsel olarak özetleme


9

Milyonlarca yönlendirilmiş çizgi segmentinden oluşan bir veri setim var. Çizgi segmentleri sıralıdır - bu, yarım saatlik aralıklarla gözlenen ve simüle edilen değerlere sahip iklimsel bir değişkendir (hissedilebilir ısı). Simülasyonun nasıl performans gösterdiğine dair kalıplar aramaya çalışıyorum. Ben obs vs simülasyon değerleri bir dağılım grafiğine bakıyorum ve onları çizgi bölümleri ile bağlantı, (oklar zaman yönünü gösterir). Onları çizersem, yorumlanması imkansız olan bulanık bir karışıklık elde ederim, şöyle:

hatlar

Bu, 10000 satırlık bir alt kümedir, ince olarak çizilmiştir ve düşük opaklıkta:

ggplot(d, aes(x=Qh_obs, xend=lead(Qh_obs), y=Qh_sim, yend=lead(Qh_sim))) +
  geom_segment(size=0.1, alpha=0.2, arrow=arrow(length=unit(2, units='mm')))

dput() ilk 700 veri satırından (gönderi uzunluğuyla sınırlı):

structure(
    list(
        Qh_sim = c( 56.401439666748, 33.9568634033203, 16.2147789001465, 0.797790050506592, -3.19529962539673, -10.3250732421875, -11.6082448959351, -21.5074787139893, -21.5963478088379, -21.4389324188232, -19.8912830352783, -18.5908279418945, -19.2523441314697, -19.663516998291, -19.1126575469971, -18.4237308502197, -16.6181221008301, -14.7601175308228, -14.5604763031006, -14.3527803421021, -14.6219816207886, -14.791407585144, -15.452392578125, -15.8962726593018, -11.9349966049194, -7.97028636932373, 12.4507570266724, 32.1654815673828, 56.9330673217773, 82.0748443603516, 110.501235961914, 138.745697021484, 150.787033081055, 161.838928222656, 172.895263671875, 184.098617553711, 187.657043457031, 192.906372070312, 193.122268676758, 192.274002075195, 179.315124511719, 164.562591552734, 163.265823364258, 161.703796386719, 133.756286621094, 105.635498046875, 97.0240097045898, 87.8632583618164, 58.3389205932617, 33.2009048461914, 23.2682571411133, 13.6356563568115, 1.51271843910217, 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        ),
    .Names = c( "Qh_sim", "Qh_obs"),
    row.names = c( NA, -700L),
    class = c( "data.table", "data.frame"),
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    )

Bu çizgilerin akışını görsel olarak özetlemeye çalışmakla ilgileniyorum. Bu tür bilgileri özetlemenin yaygın bir yolu var mı? Sadece bir vektör alanı çizebilirim, ama bence bazı ilgili bilgileri kaybederim - özellikle, daha yoğun bölgelerin muhtemelen birden fazla segment grubu var. Segmentleri kümelendirmeyi (özellikler olarak dört değişkeni kullanarak) ve sonra ortalamaları çizmeyi veya belki de rüzgar güllerinin bir vektör alanını yapmayı düşünüyorum, ancak daha iyi bir yol olup olmadığını görmek istedim.


1
Onları yönü temsil eden renklerle çizerseniz, desen görecek misiniz? Beni bu konuda düşündüren, şiddetli fırtınalar olduğunda, TV'de rengin rüzgar yönüne dayandığı radar görüntüleri gördüm ve kasırgaların ani bir renk değişikliğinin olduğu yerleri arayarak tespit edilebileceği.
Russ Lenth

Bu güzel bir fikir. Diğer görsel değişkenleri kullanmayı tamamen unuttum. Sanırım çizgi ağırlığı olan bir kümedeki eleman sayısını da gösterebilirim.
naught101

Düşünebileceğim diğer bir şey, zaman içinde dar bir pencere seçen ancak sorunsuz bir şekilde hareket edebilen bir kaydırıcıya sahip bir tür dinamik veya animasyonlu arsa.
Russ Lenth

Evet, bu da denemeye değer, ancak çoğunlukla burada günlük bir döngüye bakıyorum ve veriler 30 dakikalık aralıklarla ve 3-7 yıl uzunluğunda, bu yüzden işe yarayabilir, ancak işlenmesi zor olabilir.
naught101

4
Segmentleriniz olduğunu yazıyorsunuz , ancak grafikte aslında parçalı doğrusal bir yörüngeye sahip gibi görünüyorsunuz (yani, segmentlerin hepsi uçtan uca katılıyor)? Öyle mi? Cevabınız evet ise, sorunuzu düzenlemek isteyebilirsiniz, çünkü olası cevapları etkileyebilir (maalesef hakkında hiçbir fikrim yok).
Stephan Kolassa

Yanıtlar:


4

Ayrıca zaman parçalarına ayrılabilir ve yontulmuş arsalar yapabilirsiniz. Akış birkaç kez ileri ve geri giderse bu yardımcı olacaktır.

Akışın bir anlamını elde etmek için segmentleri yumuşatmak mümkün olabilir, ancak bence fasetleme ilk adım olacaktır.


1

Bir olasılık, günler boyunca ortalama, 1000'den fazla bireysel gün yerine bir veya birkaç "ortalama" günlük döngü elde etmek olabilir.

Başka bir fikir Tominski, Schumann, Andrienko ve Andrienko (2012) gibi bir 3D temsil olabilir .

Referans:

Tominski, C., Schumann, H., Andrienko, G., Andrienko, N. (2012). Yörünge öznitelik verilerinin yığın tabanlı görüntülenmesi. Görselleştirme ve Bilgisayar Grafikleri, IEEE İşlemleri , cilt.18, no.12, s.2565,2574, Aralık 2012. doi: 10.1109 / TVCG.2012.265. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327262&isnumber=6327196


Bunlar bazı harika grafikler, ancak aslında insanın mekansal ilişkiler anlayışına mantıklı gelen 3D verilerle uğraşıyorlar (lat, uzun, zaman; gerçekten sadece 2B olmasına rağmen: yol boyunca zaman ve mesafe). Bunu bu duruma nasıl çevireceğimden emin değilim. Ortalama günlük parseller ilginç, ancak çok fazla bilgi
kaybediyorlar
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