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| author | Jimmy Olgeni <olgeni@FreeBSD.org> | 2021-10-15 22:13:32 +0000 |
|---|---|---|
| committer | Jimmy Olgeni <olgeni@FreeBSD.org> | 2021-10-16 07:09:27 +0000 |
| commit | 6ee22804e40961be5d2243f3969f82bb1a91bfa2 (patch) | |
| tree | f4511ebee11e64ee5c8d9165470dc4494a3dc29e | |
| parent | 1ccdb885a304f168676a095bbb09e098d31dbae3 (diff) | |
| download | ports-6ee22804e40961be5d2243f3969f82bb1a91bfa2.tar.gz ports-6ee22804e40961be5d2243f3969f82bb1a91bfa2.zip | |
devel/libght: fix typos in pkg-descr and reformat.
| -rw-r--r-- | devel/libght/pkg-descr | 33 |
1 files changed, 18 insertions, 15 deletions
diff --git a/devel/libght/pkg-descr b/devel/libght/pkg-descr index 8461006eceb8..71d4200a95d6 100644 --- a/devel/libght/pkg-descr +++ b/devel/libght/pkg-descr @@ -1,19 +1,22 @@ -A file format and library for storing and rapidly accessing point cloud data, in - particular LIDAR data. +A file format and library for storing and rapidly accessing point +cloud data, in particular LIDAR data. -GeoHashTree organizes points into a tree structure for fast spatial access. The -tree structure itself encodes the significant bits of at each node, so child nod -es can omit them. The result is a smaller file than if all the points were store -d with full precision. Each node includes statistical information about the chil -dren below (e.g. average/median Z value) permitting fast overview generation. Ad -ditional attributes are attached to the tree at parent nodes, below which all ch -ildren share the attribute value. This reduces duplicate data storage further. +GeoHashTree organizes points into a tree structure for fast spatial +access. The tree structure itself encodes the significant bits of +at each node, so child nodes can omit them. The result is a smaller +file than if all the points were stored with full precision. Each +node includes statistical information about the children below (e.g. +average/median Z value) permitting fast overview generation. +Additional attributes are attached to the tree at parent nodes, +below which all children share the attribute value. This reduces +duplicate data storage further. -The advantage of a GeoHashTree file over a LAS file is fast access and filtering -, since the tree encodes useful information at each node to speed searches over -the full set of points in the file. LASZ zipped files can be smaller, but will b -e less efficient at overviews, searching and sub-setting. GHT is a good working -format for applications that will be filtering and querying large sets of LIDAR -data. +The advantage of a GeoHashTree file over a LAS file is fast access +and filtering, since the tree encodes useful information at each +node to speed searches over the full set of points in the file. +LASZ zipped files can be smaller, but will be less efficient at +overviews, searching and sub-setting. GHT is a good working format +for applications that will be filtering and querying large sets of +LIDAR data. WWW: https://github.com/pramsey/libght |