update reame + some wording changse

Author: e-marshall

README.md

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 # About
 
 This repository is a submission to the Journal for Open Source Education (JOSE) of two Jupyter book tutorials developed by Emma Marshall, Jessica Scheick, Scott Henderson and Deepak Cherian. They were developed in 2022 during a project which began while Emma Marshall was an intern at the National Center for Atmospheric Research (NCAR) in the SIParCS program and the co-authors were her internship mentors. 
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-The repositories for each indivdual tutorial are located here: [ITS_LIVE tutorial repo](https://github.com/e-marshall/itslive), [Sentinel-1 RTC tutorial repo](https://github.com/e-marshall/sentinel1_rtc)
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-The Jupyter Book tutorials are located here: [ITS_LIVE tutorial](https://e-marshall.github.io/itslive/intro.html), [Sentinel-1 RTC tutorial](https://e-marshall.github.io/sentinel1_rtc/intro.html)
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book/background/data_cubes.md

@@ -43,7 +43,7 @@ To use this data for scientific analysis, we need to construct it into the form
 Source:[EOX](https://eox.at/2021/01/earth-observation-data-cubes-as-a-service/)
 ```
 
-In the context of the Xarray data model, univariate data cubes can be represented by an `xr.DataArray` or a `xr.Dataset` with one `data_variable`. Multivariate data cubes should be represented by `xr.Dataset` objects. The building blocks of `xr.DataArrays` and `xr.Datasets` are dimensions, coordinates, data variables, attribues (and indexes?). 
+In the context of the Xarray data model, univariate data cubes can be represented by an `xr.DataArray` or a `xr.Dataset` with one `data_variable`. Multivariate data cubes should be represented by `xr.Dataset` objects. The building blocks of `xr.DataArrays` and `xr.Datasets` are dimensions, coordinates, data variables, attribues (and indexes?). We recommend the Xarray [terminology](https://docs.xarray.dev/en/stable/user-guide/terminology.html) for a detailed overview of Xarray objects and common operations.
 
 A data cube should be organized out of these building blocks adhering to the following rules and definitions: 
 

book/endmatter/other_resources.md

@@ -8,9 +8,11 @@ Throughout this book, we reference a number of resources on different topics. Th
 - [How do I...](https://docs.xarray.dev/en/stable/howdoi.html)
 - [Xarray High-level computational patterns](https://tutorial.xarray.dev/intermediate/01-high-level-computation-patterns.html)
 - [Parallel computing with dask](https://tutorial.xarray.dev/intermediate/xarray_and_dask.html)
+- [Terminology](https://docs.xarray.dev/en/stable/user-guide/terminology.html)
 
 ## Geospatial data science and data formats
 - [Introduction to Earth and Environmental Data Science](https://earth-env-data-science.github.io/intro.html)
+- [Geocomputation wtih Python](https://py.geocompx.org/)
 - [Datacubes - openEO](https://openeo.org/documentation/1.0/datacubes.html#what-are-datacubes)
 - [Data Formats - NASA Earth Observation Data Basics](https://www.earthdata.nasa.gov/learn/earth-observation-data-basics/data-formats)
 - [Cloud Computing - NASA Earth Observation Data Basics](https://www.earthdata.nasa.gov/learn/earth-observation-data-basics/cloud-computing)