From f5294d885d0bd00c85e5d6933d3c7602de8f1c05 Mon Sep 17 00:00:00 2001 From: Tompalski Date: Thu, 7 Mar 2024 16:15:14 -0800 Subject: [PATCH] updated readme --- README.md | 2 +- README.rmd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 369968b..757361f 100644 --- a/README.md +++ b/README.md @@ -194,7 +194,7 @@ and Biophysical Properties of Douglas-Fir Western Hemlock Forests. Remote Sensing of Environment, 70(3), 339–361. -#### Metrics based on kernel density estimation - `metrics_kde()` +#### Metrics based on kernel density estimation - \[`metrics_kde()`\] Kernel density estimation (KDE) applied to the distribution of point cloud elevation (Z). KDE allows to create a probability density function diff --git a/README.rmd b/README.rmd index b9a985a..2dfe8de 100644 --- a/README.rmd +++ b/README.rmd @@ -155,7 +155,7 @@ See: Lefsky, M. A., Cohen, W. B., Acker, S. A., Parker, G. G., Spies, T. A., & Harding, D. (1999). Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests. Remote Sensing of Environment, 70(3), 339–361. doi:10.1016/S0034-4257(99)00052-8 -#### Metrics based on kernel density estimation - `metrics_kde()` +#### Metrics based on kernel density estimation - [`metrics_kde()`] Kernel density estimation (KDE) applied to the distribution of point cloud elevation (Z). KDE allows to create a probability density function (using a Guassian kernel). The density function is then used to detect peaks (function maxima), and attributes of those maxima. Based on similar metric available in Fusion (see references), with significant differences in the list of output statistics as well as the default bandwidth used when estimating kernel density.