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Jeff Burkey


King County

14 total contributions since 2007

Other platforms include: Objective-C, .NET, Python, SQL.

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Submitted


Mann-Kendall Tau-b with Sen's Method (enhanced)
A non-parametric trend test including Sen's slope method using Mann-Kendall Tau-b technique

6 years ago | 31 downloads |

Submitted


LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced)
LOWESS, a robust regression like LOWESS allows detecton of a trend otherwise with too much variance

7 years ago | 14 downloads |

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Submitted


stormevents - extract out storm events based on user supplied thresholds
Using hydrograph separation techniques, storms are extracted from a time series.

7 years ago | 0 downloads |

Submitted


Hydrograph Separation using HYDSEP
Separates base and storm flows using HYDSEP local minimum method.

7 years ago | 5 downloads |

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Seasonal Kendall Test with Slope for Serial Dependent Data
Seasonal trends using tau-a,b and seasonal slope with intervals, accounts for serial dependence.

7 years ago | 13 downloads |

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Summarizes data using a sliding window without loops
This function is extremely fast calculating a sum, mean, etc, using no loops.

8 years ago | 8 downloads |

Submitted


Log-Pearson Flood Flow Frequency using USGS 17B
This function will calculate flood flow frequencies using published guidelines by the USGS.

10 years ago | 6 downloads |

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Aggregate data using any number of multiple columns
Using two of Matlabs functions, unique and accumarray, this function summarizes any number of cols.

10 years ago | 2 downloads |

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Aggregate timeseries data to solstices and equinoxes.
Aggregates serial datetime data to summer/winter solstices, and spring/fall equinoxes.

10 years ago | 0 downloads |

Submitted


Homogeneity test of Global Trends using Chi-Square on Mann-Kendall
Test for homogeneity of trends in different seasons-stations,and global trends using Chi-Square.

10 years ago | 0 downloads |

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Sens Trend Test with seasonallity present, non-parametric
A monotonic trend test that has good power with seasonal data. Requires no missing data.

10 years ago | 1 download |

Submitted


Nash-Sutcliffe Model Accuracy Metric
A metric to measure the ability of a model to predict observed values

11 years ago | 14 downloads |

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A Parabolic Lagrangian Interpolating Polynomial Function
This function uses a non-linear interpolation (Lagrange) to estimate y given x, based on a set of ob

12 years ago | 1 download |

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Estimating a models skill of predictability
This function will compute the accuracy of a numerical model when compared to observed data.

12 years ago | 1 download |