From 4be2f66c06d89b05f8f639f9b767818d9e146db7 Mon Sep 17 00:00:00 2001 From: Yonatan Tarazona Coronel Date: Sat, 5 Nov 2022 20:02:05 -0500 Subject: [PATCH] logistic regression --- scikeo/linearTrend.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/scikeo/linearTrend.py b/scikeo/linearTrend.py index ba639d1..483e6be 100644 --- a/scikeo/linearTrend.py +++ b/scikeo/linearTrend.py @@ -38,16 +38,13 @@ def LN(self, **kwargs): Return: a dictionary with slope, intercept and p-value obtained. All of them in numpy.ndarray with 2d. - -<<<<<<< HEAD + Note: Linear regression is widely used to analyze forest degradation or land degradation. Specifically, the slope and its reliability are used as main parameters and they can be obtained with this function. On the other hand, logistic regression allows obtaining a degradation risk map, in other words, it is a probability map. -======= ->>>>>>> d31f0686c9e7bea0e98058fd5040aef9c51b3594 References: - Tarazona, Y., Maria, Miyasiro-Lopez. (2020). Monitoring tropical forest degradation using remote sensing. Challenges and opportunities in the Madre de Dios region, Peru. Remote