Düzenle
Tam olarak ihtiyacım olan prosedürü açıklayan bir makale buldum . Tek fark, makalenin aylık ortalama verileri korurken, aylık ortalama verileri günlük olarak enterpolasyonlandırmasıdır. Yaklaşımı uygulamakta sorun yaşıyorum R
. Herhangi bir ipucu takdir.
orijinal
Her hafta için aşağıdaki sayım verilerine sahibim (haftada bir değer):
- Doktor konsültasyon sayısı
- İnfluenza vakası sayısı
Amacım enterpolasyon ile günlük veriler elde etmektir (doğrusal veya kesik kamalar düşündüm). Önemli olan , haftalık ortalamayı korumak istediğim, yani günlük enterpolasyonlu verilerin ortalaması bu haftanın kayıtlı değerine eşit olmalıdır. Ek olarak, enterpolasyon düzgün olmalıdır. Ortaya çıkabilecek bir sorun, belirli bir haftanın 7 günden az olması (örneğin bir yılın başında veya sonunda).
Bu konuda tavsiye için minnettar olurum.
Çok teşekkürler.
1995 yılı için bir örnek veri seti ( güncellendi ):
structure(list(daily.ts = structure(c(9131, 9132, 9133, 9134,
9135, 9136, 9137, 9138, 9139, 9140, 9141, 9142, 9143, 9144, 9145,
9146, 9147, 9148, 9149, 9150, 9151, 9152, 9153, 9154, 9155, 9156,
9157, 9158, 9159, 9160, 9161, 9162, 9163, 9164, 9165, 9166, 9167,
9168, 9169, 9170, 9171, 9172, 9173, 9174, 9175, 9176, 9177, 9178,
9179, 9180, 9181, 9182, 9183, 9184, 9185, 9186, 9187, 9188, 9189,
9190, 9191, 9192, 9193, 9194, 9195, 9196, 9197, 9198, 9199, 9200,
9201, 9202, 9203, 9204, 9205, 9206, 9207, 9208, 9209, 9210, 9211,
9212, 9213, 9214, 9215, 9216, 9217, 9218, 9219, 9220, 9221, 9222,
9223, 9224, 9225, 9226, 9227, 9228, 9229, 9230, 9231, 9232, 9233,
9234, 9235, 9236, 9237, 9238, 9239, 9240, 9241, 9242, 9243, 9244,
9245, 9246, 9247, 9248, 9249, 9250, 9251, 9252, 9253, 9254, 9255,
9256, 9257, 9258, 9259, 9260, 9261, 9262, 9263, 9264, 9265, 9266,
9267, 9268, 9269, 9270, 9271, 9272, 9273, 9274, 9275, 9276, 9277,
9278, 9279, 9280, 9281, 9282, 9283, 9284, 9285, 9286, 9287, 9288,
9289, 9290, 9291, 9292, 9293, 9294, 9295, 9296, 9297, 9298, 9299,
9300, 9301, 9302, 9303, 9304, 9305, 9306, 9307, 9308, 9309, 9310,
9311, 9312, 9313, 9314, 9315, 9316, 9317, 9318, 9319, 9320, 9321,
9322, 9323, 9324, 9325, 9326, 9327, 9328, 9329, 9330, 9331, 9332,
9333, 9334, 9335, 9336, 9337, 9338, 9339, 9340, 9341, 9342, 9343,
9344, 9345, 9346, 9347, 9348, 9349, 9350, 9351, 9352, 9353, 9354,
9355, 9356, 9357, 9358, 9359, 9360, 9361, 9362, 9363, 9364, 9365,
9366, 9367, 9368, 9369, 9370, 9371, 9372, 9373, 9374, 9375, 9376,
9377, 9378, 9379, 9380, 9381, 9382, 9383, 9384, 9385, 9386, 9387,
9388, 9389, 9390, 9391, 9392, 9393, 9394, 9395, 9396, 9397, 9398,
9399, 9400, 9401, 9402, 9403, 9404, 9405, 9406, 9407, 9408, 9409,
9410, 9411, 9412, 9413, 9414, 9415, 9416, 9417, 9418, 9419, 9420,
9421, 9422, 9423, 9424, 9425, 9426, 9427, 9428, 9429, 9430, 9431,
9432, 9433, 9434, 9435, 9436, 9437, 9438, 9439, 9440, 9441, 9442,
9443, 9444, 9445, 9446, 9447, 9448, 9449, 9450, 9451, 9452, 9453,
9454, 9455, 9456, 9457, 9458, 9459, 9460, 9461, 9462, 9463, 9464,
9465, 9466, 9467, 9468, 9469, 9470, 9471, 9472, 9473, 9474, 9475,
9476, 9477, 9478, 9479, 9480, 9481, 9482, 9483, 9484, 9485, 9486,
9487, 9488, 9489, 9490, 9491, 9492, 9493, 9494, 9495), class = "Date"),
wdayno = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L,
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6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L,
1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L,
2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L,
3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L,
4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L,
5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L,
6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L,
1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L,
2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L,
3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L,
4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L,
5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L,
6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L,
1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L,
2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L,
3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L,
4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L,
5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L,
6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L, 1L, 2L, 3L, 4L, 5L, 6L,
0L, 1L, 2L, 3L, 4L, 5L, 6L, 0L), month = c(1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,
5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,
6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7,
7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8,
8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,
8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9,
9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,
10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,
11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11,
11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,
12, 12, 12, 12), year = c(1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
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1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
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1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995,
1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995, 1995), yearday = 0:364,
no.influ.cases = c(NA, NA, NA, 168L, NA, NA, NA, NA, NA,
NA, 199L, NA, NA, NA, NA, NA, NA, 214L, NA, NA, NA, NA, NA,
NA, 230L, NA, NA, NA, NA, NA, NA, 267L, NA, NA, NA, NA, NA,
NA, 373L, NA, NA, NA, NA, NA, NA, 387L, NA, NA, NA, NA, NA,
NA, 443L, NA, NA, NA, NA, NA, NA, 579L, NA, NA, NA, NA, NA,
NA, 821L, NA, NA, NA, NA, NA, NA, 1229L, NA, NA, NA, NA,
NA, NA, 1014L, NA, NA, NA, NA, NA, NA, 831L, NA, NA, NA,
NA, NA, NA, 648L, NA, NA, NA, NA, NA, NA, 257L, NA, NA, NA,
NA, NA, NA, 203L, NA, NA, NA, NA, NA, NA, 137L, NA, NA, NA,
NA, NA, NA, 78L, NA, NA, NA, NA, NA, NA, 82L, NA, NA, NA,
NA, NA, NA, 69L, NA, NA, NA, NA, NA, NA, 45L, NA, NA, NA,
NA, NA, NA, 51L, NA, NA, NA, NA, NA, NA, 45L, NA, NA, NA,
NA, NA, NA, 63L, NA, NA, NA, NA, NA, NA, 55L, NA, NA, NA,
NA, NA, NA, 54L, NA, NA, NA, NA, NA, NA, 52L, NA, NA, NA,
NA, NA, NA, 27L, NA, NA, NA, NA, NA, NA, 24L, NA, NA, NA,
NA, NA, NA, 12L, NA, NA, NA, NA, NA, NA, 10L, NA, NA, NA,
NA, NA, NA, 22L, NA, NA, NA, NA, NA, NA, 42L, NA, NA, NA,
NA, NA, NA, 32L, NA, NA, NA, NA, NA, NA, 52L, NA, NA, NA,
NA, NA, NA, 82L, NA, NA, NA, NA, NA, NA, 95L, NA, NA, NA,
NA, NA, NA, 91L, NA, NA, NA, NA, NA, NA, 104L, NA, NA, NA,
NA, NA, NA, 143L, NA, NA, NA, NA, NA, NA, 114L, NA, NA, NA,
NA, NA, NA, 100L, NA, NA, NA, NA, NA, NA, 83L, NA, NA, NA,
NA, NA, NA, 113L, NA, NA, NA, NA, NA, NA, 145L, NA, NA, NA,
NA, NA, NA, 175L, NA, NA, NA, NA, NA, NA, 222L, NA, NA, NA,
NA, NA, NA, 258L, NA, NA, NA, NA, NA, NA, 384L, NA, NA, NA,
NA, NA, NA, 755L, NA, NA, NA, NA, NA, NA, 976L, NA, NA, NA,
NA, NA, NA, 879L, NA, NA, NA, NA), no.consultations = c(NA,
NA, NA, 15093L, NA, NA, NA, NA, NA, NA, 20336L, NA, NA, NA,
NA, NA, NA, 20777L, NA, NA, NA, NA, NA, NA, 21108L, NA, NA,
NA, NA, NA, NA, 20967L, NA, NA, NA, NA, NA, NA, 20753L, NA,
NA, NA, NA, NA, NA, 18782L, NA, NA, NA, NA, NA, NA, 19778L,
NA, NA, NA, NA, NA, NA, 19223L, NA, NA, NA, NA, NA, NA, 21188L,
NA, NA, NA, NA, NA, NA, 22172L, NA, NA, NA, NA, NA, NA, 21965L,
NA, NA, NA, NA, NA, NA, 21768L, NA, NA, NA, NA, NA, NA, 21277L,
NA, NA, NA, NA, NA, NA, 16383L, NA, NA, NA, NA, NA, NA, 15337L,
NA, NA, NA, NA, NA, NA, 19179L, NA, NA, NA, NA, NA, NA, 18705L,
NA, NA, NA, NA, NA, NA, 19623L, NA, NA, NA, NA, NA, NA, 19363L,
NA, NA, NA, NA, NA, NA, 16257L, NA, NA, NA, NA, NA, NA, 19219L,
NA, NA, NA, NA, NA, NA, 17048L, NA, NA, NA, NA, NA, NA, 19231L,
NA, NA, NA, NA, NA, NA, 20023L, NA, NA, NA, NA, NA, NA, 19331L,
NA, NA, NA, NA, NA, NA, 18995L, NA, NA, NA, NA, NA, NA, 16571L,
NA, NA, NA, NA, NA, NA, 15010L, NA, NA, NA, NA, NA, NA, 13714L,
NA, NA, NA, NA, NA, NA, 10451L, NA, NA, NA, NA, NA, NA, 14216L,
NA, NA, NA, NA, NA, NA, 16800L, NA, NA, NA, NA, NA, NA, 18305L,
NA, NA, NA, NA, NA, NA, 18911L, NA, NA, NA, NA, NA, NA, 17812L,
NA, NA, NA, NA, NA, NA, 18665L, NA, NA, NA, NA, NA, NA, 18977L,
NA, NA, NA, NA, NA, NA, 19512L, NA, NA, NA, NA, NA, NA, 17424L,
NA, NA, NA, NA, NA, NA, 14464L, NA, NA, NA, NA, NA, NA, 16383L,
NA, NA, NA, NA, NA, NA, 19916L, NA, NA, NA, NA, NA, NA, 18255L,
NA, NA, NA, NA, NA, NA, 20113L, NA, NA, NA, NA, NA, NA, 20084L,
NA, NA, NA, NA, NA, NA, 20196L, NA, NA, NA, NA, NA, NA, 20184L,
NA, NA, NA, NA, NA, NA, 20261L, NA, NA, NA, NA, NA, NA, 22246L,
NA, NA, NA, NA, NA, NA, 23030L, NA, NA, NA, NA, NA, NA, 10487L,
NA, NA, NA, NA)), .Names = c("daily.ts", "wdayno", "month",
"year", "yearday", "no.influ.cases", "no.consultations"), row.names = c(NA,
-365L), class = "data.frame")
R
veya diğer istatistiksel paketlerde (ArcGIS'e erişimim yok) herhangi bir uygulamanın farkında mısınız ? Somut olarak kullanılabilir bir uygulama olmadan, hala sıkışıp kaldım, korkuyorum.
geoRglm
Variografi ve destek değişikliğini (uzamsal korelasyon modelini geliştirmek için gerekli) çok iyi bir anlayışa sahip olmanız koşuluyla, bu kod kullanılarak yapılabileceğine inanıyorum . El kitabı Springer Verlag tarafından Model Tabanlı Geostatistics, Diggle & Ribeiro Jr.