search for: 1km

Hola que tal alguien de ustedes me podría auxiliar, lo que pasa es que estoy tratando de hacer un programa en R utilizando la siguiente tabla: x<1 km x>1km Estabilidad a c d f c d f A 213 440.8 1.94 9.27 459.70 2.094 -9.6 B 156 106.6 1.15 3.30 108.20 1.098 2.0 C 104 61.0 0.91 0.00 61.00 0.911 0.0 D 68 33.2 0.73 -1.70 44.50 0.516 -13.0 E 51 22.8 0.68 -1.30 55.40 0.305 -34.0 F 34 14.4 0.74 -0.35 65.60 0.180 -48.6 Lo que quisiera que mi progra...

...nsley populated region). During my research, i have fould out that PoE switches exists and can be used to supply both data access and power to the wifi radios, but these only run for 120meters tops b4 signall loss sets in Is there a sort of high grade cat5 cable that can propagate signals for up to 1Km? or does anyone have any idea that i could effectively cover 20Km radius wing WiFi? -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20060226/c80a5398/attachment.htm

Hello everyone, I want to get a 1km by lkm grid raster image using my csv data. If I call latitude=a, longitude=b and preciptation=c. a<-(1,2,3,4,5) b<-(6,7,8,9,10) c<-(10,20, 30,40, 50) Then I found an example in r help which goes like pts = read.table("file.csv",......) library(sp) library(rgdal) proj4string(...

Hello, I have a distribution dataset for species consisting of xy coordinates at the 1km resolution, with only presence data. So a simplified example of a species distribution might be: y <- rbind(as.integer(rnorm(100,50,20)), as.integer(rnorm(200,100,30)), as.integer(rnorm(100,180,15))) x <- rbind(as.integer(rnorm(200,50,20)), as.integer(rnorm(200,100,20)), as.integer(rnorm(100...

Hello, I am trying to fit gamma, negative exponential and inverse power functions to a dataset, and then test whether the fit of each curve is good. To do this I have been advised to calculate predicted values for bins of data (I have grouped a continuous range of distances into 1km bins), and then apply a chi-squared test. Example: > data <- data.frame(distance=c(1,2,3,4,5,6,7), observed=c(43,13,10,6,2,1), predicted=c(28, 18, 10, 5 ,3, 1, 1)) > chisq.test(data$observed, data$predicted) Which gives: Pearson's Chi-squared test data: data$observed and...

Hello, I must start by saying that I am an R novice and am sorry if this is a no-brainer... I have an csv file that contains a grid of 300x300 data points. Each point represents a 1Km square on a map. Each point is either a floating point number or NA. I load the data in with:   data <- read.csv("matrix.csv", sep=',') Convert the data to a matrix with:   data_matrix <- data.matrix(data)  and then produce the heatmap with:   data_heatmap <- heatmap...

...0 , 21.80, 12.897710, 43.907555 As far as I can understand (as you can see, I am not an expert on GIS or any spatial topic) - my input file pointfile.csv is in "observation-per-row form"; - I need a grid (file.asc) where I can interpolate my rainfall data (I can get it, a resolution of 1km will be enough for me) - ggplot should produce the map I need; but where are the options for the interpolation method? Again, any help will be appreciated. Stefano (oo) --oOO--( )--OOo---------------- Stefano Sofia PhD Area Meteorologica e Area Nivologica - Centro Funzionale Servizio Pr...

...his map I would like to place users (people), thus I do not know in advance if in one place there would be one,two, or more users.. -I would also like to not have fixed resolution in my map and specify it as a parameter during run-time. In my X*X area I would like sometimes to have resolution of 1Km and others resolution of 10 meters. As resolution increases (1 km->100m->10m) less users would be found in the same "place". -In every "place" I would like to specify some parameters (eg. number of users, characteristics of users, energy consumption per user). I do not k...

Hello everyone, This is Kangmin. I am trying to produce shape and scale of my wind data. My data is based on wind speed frequency with 1km/hr increment. data is described below. Windspeed (km/h) Frequency 1 351 2 147 3 317 4 378 5 527 6 667 7 865 8 970 9 987 10 907 11 905 12 642 13 1000 14 983 15 847 16 842 17 757 18 698 19 632 20 626 21 599 22 529 23 325 24 391 25 356 26 267 27 230 28 223 29 190 30...

Fwiw the engine behind geom_raster needs explicit observation-per-row form for input (with no structural normalization), so conversion to points is perfectly proper here, albeit confusing in context. (It's closer to what graphics devices actually use ultimately, but the expansion is laid out very early in ggplot2 because there's no standard for intermediate forms.) Cheers, Mike On Wed,

Good morning, I am using R to try to model the proportion of burned area in Portugal. The dependent variable is the proportion. The family used is binomial and the epsilon would be binary. I am not able to find the package to be used when the proportion (%) has to be used in glm. Could someone help me? I am using normal commands of glm.. for example: glm_5<- glm(formula=p~Precipitation,

Hi, Is it possible to connect Asterisk with a mobile base station to handle call switching? What kind of protocol will I need to use to convert to sip? Any pointer or info will be greatly appreciated. Best Regards, Mark -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20081119/e74ef6b1/attachment.htm

...es with FC connectivity (OpenSolaris) - 2 backend FC srtorages (Disk Shelves with RAID Controllers presenting a huge 15 TB RAID5) - 2 datacenters (distance 1 km with dark fibre) - one headnode and one storage in each data center (Sorry for this ascii art :) ( Data Center 1) <--1km--> (Data Center 2) (primary) (backup) [Disk Array 1 with Raid CRTL] [Disk Array 2 with Raid CRTL] [ -- LUN1 16 TB -- ] [ -- LUN2 16 TB -- ] | \ / |...

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