Bump version

Project.toml

@@ -1,7 +1,7 @@
 name = "GeoStats"
 uuid = "dcc97b0b-8ce5-5539-9008-bb190f959ef6"
 author = "Júlio Hoffimann <[email protected]>"
-version = "0.62.0"
+version = "0.63.0"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -44,7 +44,7 @@ GeoStatsTransforms = "0.7"
 GeoStatsValidation = "0.3"
 GeoTables = "1.22"
 LossFunctions = "0.11"
-Meshes = "0.47"
+Meshes = "0.48"
 Reexport = "1.0"
 Rotations = "1.7"
 Statistics = "1.9"

docs/src/index.md

@@ -35,58 +35,64 @@ Organizations using the framework:
 Would like to become a sponsor? Press the sponsor button in our
 [GitHub repository](https://github.com/JuliaEarth/GeoStats.jl).
 
-### Textbooks
-
-The following textbooks can be useful to learn the framework.
-Click on the cover to learn more.
-
-```@raw html
-<p align="center">
-  <a href="https://juliaearth.github.io/geospatial-data-science-with-julia">
-    <img src="https://juliaearth.github.io/geospatial-data-science-with-julia/images/cover.svg" width="200px" hspace="20">
-  </a>
-</p>
-```
-
 ## Overview
 
 In many fields of science, such as mining engineering, hydrogeology, petroleum
 engineering, and environmental sciences, traditional statistical methods fail
 to provide unbiased estimates of resources due to the presence of geospatial
 correlation. Geostatistics (a.k.a. geospatial statistics) is the branch of
 statistics developed to overcome this limitation. Particularly, it is the
-branch that takes geospatial coordinates of data into account.
+branch that takes geospatial coordinates of data into account. Some major
+highlights of **GeoStats.jl** are:
+
+- It is **simple**: has a very short learning curve and requires writing minimal code 😌
+- It is **general**: supports all types of geospatial domains, including unstructured meshes 👍
+- It is **native**: fully written in Julia for maximum flexibility and performance 🚀
+- Has an **extensive library** of algorithms from the geostatistics literature 📚
 
-**GeoStats.jl** is an attempt to bring together bleeding-edge research in the
-geostatistics community into a comprehensive framework for *geospatial data
-science* and *geostatistical modeling*, as well as to empower researchers and
-practitioners with a toolkit for fast assessment of different modeling approaches.
-For a guided tour, please watch our JuliaCon2021 talk:
+Our JuliaCon2021 talk provides an overview of
+[geostatistical learning](https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2021.689393/full),
+which is one of the many geostatistical problems addressed
+by the software:
 
 ```@raw html
 <p align="center">
 <iframe style="width:560px;height:315px" src="https://www.youtube.com/embed/75A6zyn5pIE" title="Geostatistical Learning" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
 </p>
 ```
 
-If you have questions, feature requests, or would like to brainstorm ideas, don't
-hesitate to start a topic in our [community channel](about/community.md).
+Consider reading the [Geospatial Data Science with Julia](https://juliaearth.github.io/geospatial-data-science-with-julia)
+book before reading this documentation. If you have questions, or would
+like to brainstorm ideas, don't hesitate to start a topic in our
+[community channel](about/community.md).
+
+```@raw html
+<p align="center">
+  <a href="https://juliaearth.github.io/geospatial-data-science-with-julia">
+    <img src="https://juliaearth.github.io/geospatial-data-science-with-julia/images/cover.svg" width="200px" hspace="20">
+  </a>
+</p>
+```
 
 ## Installation
 
 Get the latest stable release with Julia's package manager:
 
-```
-] add GeoStats
+```julia
+using Pkg
+Pkg.add("GeoStats")
 ```
 
 ## Quick example
 
-Below is a quick preview of the high-level interface:
+Below is an example of geostatistical interpolation of point data
+over a Cartesian grid with a Kriging model:
 
 ```@example overview
+# load framework
 using GeoStats
 
+# load visualization backend
 import CairoMakie as Mke
 
 # attribute table
@@ -111,8 +117,6 @@ interp = geotable |> Interpolate(grid, model)
 viz(interp.geometry, color = interp.Z)
 ```
 
-For a more detailed example, please consult the [Quickstart](quickstart.md).
-
 ## Project organization
 
 The project is split into various packages: