Klocate {Rquake}

Earthquake Hypocenter Location

Description

Earthquake Hypocenter Location

Usage

Klocate(Ldat, sol = c(0, 0, 0, 0), vel=defaultVEL(6),
distwt = 20, errtol = c(0.01, 0.01, 0.01), maxit = 20,
Lambda = 1, guessdepth = 6, APLOT = FALSE,
stas = list(name = "", lat = NA, lon = NA, z = NA))

Arguments

Ldat

swig pick list

sol

vector, initial solution

vel

velocity list

distwt

distance weight parameter

errtol

error tolerance

maxit

Maximum number of iterations

Lambda

damping parameter

guessdepth

initial depth for guess

APLOT

logical, plot intermediate solutions

stas

station list

Details

Inversion is done with SVD.

Value

Event location in Lat-Lon-Z-T.

Note

Damped least squares.

Author(s)

Jonathan M. Lees<[e-mail]>

See Also

swig, defaultVEL

Examples

######  could read from a list of files on disk
###  LF = list.files(path=pdir, pattern="p$", full.names=TRUE )

   data(GH, package='RSEIS')

g1 = GH$pickfile




    ##  points(g1$H$lon, g1$H$lat, pch=8, col='red')

    w1 = which(!is.na(g1$STAS$lat))
    sec = g1$STAS$sec[w1]

    N = length(sec)
    Ldat =    list(
      name = g1$STAS$name[w1],
      sec = g1$STAS$sec[w1],
      phase = g1$STAS$phase[w1],
      lat=g1$STAS$lat[w1],
      lon = g1$STAS$lon[w1],
      z = g1$STAS$z[w1],
      err= g1$STAS$err[w1],
      yr = rep(g1$LOC$yr , times=N),
      jd = rep(g1$LOC$jd, times=N),
      mo = rep(g1$LOC$mo, times=N),
      dom = rep(g1$LOC$dom, times=N),
      hr =rep( g1$LOC$hr, times=N),
      mi = rep(g1$LOC$mi, times=N) )

 ######  let the code determine the initial guess
    NEW = Klocate(Ldat  )