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new 3bc546b8e8 [DOCS] Enhance the README with links for technical terms
(#1672)
3bc546b8e8 is described below
commit 3bc546b8e880f854d2b7753cc1664af5cb6289df
Author: John Bampton <[email protected]>
AuthorDate: Mon Nov 4 18:59:40 2024 +1000
[DOCS] Enhance the README with links for technical terms (#1672)
* [DOCS] Enhance the README with links for technical terms
* Update README.md
---
README.md | 16 +++++++++-------
1 file changed, 9 insertions(+), 7 deletions(-)
diff --git a/README.md b/README.md
index 4bd2e82bd1..5a352f80c9 100644
--- a/README.md
+++ b/README.md
@@ -34,7 +34,8 @@ Join the Sedona monthly community office hour: [Google
Calendar](https://calenda
## What is Apache Sedona?
-Apache Sedona™ is a spatial computing engine that enables developers to easily
process spatial data at any scale within modern cluster computing systems such
as Apache Spark and Apache Flink. Sedona developers can express their spatial
data processing tasks in Spatial SQL, Spatial Python or Spatial R. Internally,
Sedona provides spatial data loading, indexing, partitioning, and query
processing/optimization functionality that enable users to efficiently analyze
spatial data at any scale.
+Apache Sedona™ is a spatial computing engine that enables developers to easily
process spatial data at any scale within modern cluster computing systems such
as [Apache Spark](https://spark.apache.org/) and [Apache
Flink](https://flink.apache.org/).
+Sedona developers can express their spatial data processing tasks in [Spatial
SQL](https://carto.com/spatial-sql), Spatial Python or Spatial R. Internally,
Sedona provides spatial data loading, indexing, partitioning, and query
processing/optimization functionality that enable users to efficiently analyze
spatial data at any scale.
@@ -42,17 +43,17 @@ Apache Sedona™ is a spatial computing engine that enables
developers to easily
Some of the key features of Apache Sedona include:
-* Support for a wide range of geospatial data formats, including GeoJSON, WKT,
and ESRI Shapefile.
+* Support for a wide range of geospatial data formats, including
[GeoJSON](https://en.wikipedia.org/wiki/GeoJSON),
[WKT](https://en.wikipedia.org/wiki/Well-known_text_representation_of_geometry),
and [ESRI](https://www.esri.com)
[Shapefile](https://en.wikipedia.org/wiki/Shapefile).
* Scalable distributed processing of large vector and raster datasets.
* Tools for spatial indexing, spatial querying, and spatial join operations.
-* Integration with popular geospatial python tools such as GeoPandas.
-* Integration with popular big data tools, such as Spark, Hadoop, Hive, and
Flink for data storage and querying.
-* A user-friendly API for working with geospatial data in the SQL, Python,
Scala and Java languages.
+* Integration with popular geospatial Python tools such as
[GeoPandas](https://geopandas.org).
+* Integration with popular big data tools, such as Spark,
[Hadoop](https://hadoop.apache.org/), [Hive](https://hive.apache.org/), and
Flink for data storage and querying.
+* A user-friendly API for working with geospatial data in the
[SQL](https://en.wikipedia.org/wiki/SQL), [Python](https://www.python.org/),
[Scala](https://www.scala-lang.org/) and [Java](https://www.java.com) languages.
* Flexible deployment options, including standalone, local, and cluster modes.
These are some of the key features of Apache Sedona, but it may offer
additional capabilities depending on the specific version and configuration.
-Click
[](https://mybinder.org/v2/gh/apache/sedona/HEAD?filepath=docs/usecases)
and play the interactive Sedona Python Jupyter Notebook immediately!
+Click
[](https://mybinder.org/v2/gh/apache/sedona/HEAD?filepath=docs/usecases)
and play the interactive Sedona Python [Jupyter](https://jupyter.org/)
Notebook immediately!
## When to use Sedona?
@@ -150,5 +151,6 @@ Please visit [Apache Sedona
website](http://sedona.apache.org/) for detailed inf
## Powered by
<a href="https://www.apache.org/";>
- <img alt="The Apache Software Foundation"
src="https://www.apache.org/foundation/press/kit/asf_logo_wide.png"; width="500"
class="center">
+ <img alt="The Apache Software Foundation" class="center"
src="https://www.apache.org/foundation/press/kit/asf_logo_wide.png";
+ title="The Apache Software Foundation" width="500">
</a>
![https://www.apache.org/foundation/press/kit/asf_logo_wide.png"](https://www.apache.org/foundation/press/kit/asf_logo_wide.png"){kind=link}