GEOSTAT 2014 Bergen Day 1: Introduction to GEOSTAT

(51:53)

GEOSTAT 2014 Bergen Day 1: Spatial modeling with environmental data

(1:29:34)

GEOSTAT 2014 Bergen Day 1: Representing and handling spatial and spatio-temporal data in R

(23:41)

GEOSTAT 2014 Bergen Day 4: Spatio-temporal geostatistics (part 1)

(1:26:42)

GEOSTAT 2014 Bergen Day 2: Spatial modeling with environmental data (screen 1)

(1:6:45)

GEOSTAT 2014 Bergen Day 1: Representing and handling spatial and spatio-temporal data in R (part 2)

(1:35:35)

GEOSTAT 2014 Bergen Day 4: Copulas in Spatial Statistics

(1:21:53)

GEOSTAT 2014 Bergen Day 1: Geospatial Python

(1:24:44)

2 GSIF course: Geostatistics for soil mapping

(1:30:3)

Geostatistics

(1:18:16)

10c Data Analytics: Variogram Introduction

(25:34)

What the Heck is a Variogram?

(23:59)

Lab 9: Using Kriging and Semivariograms to Interpret Data

(21:19)

Geostatistical Learning | Júlio Hoffimann | JuliaCon 2021

(18:22)

Webinar \

(49:31)

Copula geostatistics – because normal isn’t always the best choice

(1:1:36)

Geostatistics session 5 conditional simulation

(41:22)

Spatio-Temporal Statistics in Geodesign

(50:23)

GEOSTAT 2014 Bergen Day 4: Spatio-temporal geostatistics (screen 1)

(1:26:42)

GEOSTAT 2014 Bergen Day 3: Spatial and spatio-temporal statistics with R: an introduction (screen 1)

(1:28:19)

GEOSTAT 2014 Bergen Day 3: Spatial and spatio-temporal statistics with R: an introduction

(1:29:11)

GEOSTAT 2014 Bergen Day 2: Spatial modeling with environmental data

(4:36)

GEOSTAT 2014 Bergen Day 3: Spatial and spatio-temporal statistics with R: an introduction (screen 2)

(1:22:24)

GEOSTAT 2014 Bergen Day 1: Geospatial Python (screen 3)

(1:24:45)

GEOSTAT 2014 Bergen Day 2: Spatial modeling with environmental data (screen 2)

(1:45:38)

GEOSTAT 2014 Bergen Day 4: plotKML tutorial (screen 1)

(1:26:24)

GEOSTAT 2014 Bergen Day 4: Spatio-temporal geostatistics (part 2)

(1:21:53)

GEOSTAT 2014 Bergen Day 2: Spatial modeling with environmental data (part 2)

(1:8:33)

GEOSTAT 2014 Bergen Day 4: Geospatial data in Python, QGIS and R (screen 1)

(1:16:56)