From e80c764ab5d399d60a8f1ffa3fe7165fa4769b43 Mon Sep 17 00:00:00 2001 From: Ian Turton Date: Sat, 11 Nov 2023 17:23:31 +0000 Subject: [PATCH] geojson rant --- _posts/2023-11-11-geojson.md | 98 +++++++++++++++++++++++++++++++++++ images/geojson.jpg | Bin 0 -> 69365 bytes 2 files changed, 98 insertions(+) create mode 100644 _posts/2023-11-11-geojson.md create mode 100644 images/geojson.jpg diff --git a/_posts/2023-11-11-geojson.md b/_posts/2023-11-11-geojson.md new file mode 100644 index 0000000..49937ae --- /dev/null +++ b/_posts/2023-11-11-geojson.md @@ -0,0 +1,98 @@ +--- +layout: post +title: Is GeoJSON a spatial data format? +date: 2023-11-11 +categories: gis +--- +# Is GeoJSON a good spatial data format? + +A few days ago on Mastodon [Eli Pousson](https://fosstodon.org/@elipousson@dads.cool) +asked: + +> Can anyone suggest examples of files that can contain location info but aren't often considered spatial data +> file formats? +> + +He suggested EXIF, [Iván Sánchez Ortega](@IvanSanchez@mastodon.social ) +followed up with spreadsheets, and being devilish I said GeoJSON. + +This led to more discussion, with people asking why I thought that, so I instead of being flippant I thought +about it. This blog post is the result of those thoughts which I thought were kind of obvious but from things +people have said since may be aren't that obvious. + +I've mostly been a developer for most of my career so my main interest in a spatial data format is that: + +1. it stores my spatial data as I want it to, +2. it's fast to read and to a lesser extent, write. +3. It's easy to manage. + +One, seems to be obvious, if I store a point then ask for it back I want to get that point back (to the limit +of the precision of the processor's floating point). If a format can't manage that then please don't use it. +This is not common but Excel comes to mind as a program that takes good data and trashes it. If it isn't +changing [gene names into +dates](https://www.theverge.com/2020/8/6/21355674/human-genes-rename-microsoft-excel-misreading-dates) then +it's [reordering the dbf file to destroy your +shapefile](https://gis.stackexchange.com/questions/132359/how-is-attribute-data-in-dbf-file-tied-to-shapefile-location-data-in-shp-file). +GeoJSON also can fail at this as the standard says that I must store the data in WGS:84 (lon/lat), which is +fine if that is the format that I store my data in already, but suppose I have some high quality OSGB data +that is carefully surveyed to fractions of a millimetre and the underlying code does a conversion to WGS:84 in +the background and further the developer wanted to save space and limited the number of decimal places to say +6 (OK, [that was me](https://osgeo-org.atlassian.net/browse/GEOT-6650)) when it gets converted back to OSGB +I'm looking at centimetres (or worse) but given the vagaries of floating point representation I may not be +able to tell. + +Two, comes from being a GeoServer developer, a largish chunk of the time taken to draw a web map (or stream +out a WFS file) is taken up by reading the data from the disk. Much of the rest of the time is converting the +data into a form that we can draw. Ideally, we only want to read in the features needed for the map the user +has requested (actually, ideally we want to **not** read in most of the data by having it already be in the +cache, but that is hard to do). So we like indexed datasets both spatial indexes and attribute indexes can +help substantially speed up map drawing. As the size of spatial datasets increases the time taken to fetch the +next feature from the store becomes more and more important. An index allows the program to skip to the +correct place in the file for either a specific feature or for features that are in a specific place or +contain a certain attribute with the requested value. This is a great time saver, imagine trying to look +something up in a big book by using the index compared to paging through it reading each page in turn. + +After one or more indexes the main thing I look for in a format is a binary format that is easy to read (and +write). GeoJSON (and GML) are both problematic here as they are text formats (which is great in a transfer +format) and so for every coordinate of every spatial object the computer has to read in a series of digits +(and punctuation) and convert that into an actual binary number that it can understand. This is a slow +operation (by computer speeds anyway) and if I have a couple of million points in my coastline file then I +don't want to do 4 million slow operations before I even think of drawing something. + +Three, I have to interact with users on a fairly regular basis and in a lot of cases these are not spatial +data experts. If a format comes with up to a dozen similarly named files (that are all important) that a GIS +will refuse to process unless you guess which is the important one then it is more of a pain than a help. And +yes shapefile I'm looking at you. If your process still makes use of Shapefiles please, please stop doing that +to your users (and the support team) and switch over to GeoPackages which can store hundreds of data sets +inside a single file, All good GIS products can process them by now, they have been an OGC standard for nearly +10 years. If you don't think that shapefiles are confusing go and ask your support team how often they have +been sent just the `.shp` file (or 11 files but not the `.sbn`) or how often they have seen people who have +deleted all the none `.shp` files to save disk space. + +My other objection to GeoJSON is that I don't know what the structure (or schema) of the data set is until I +have read the entire file. That last record could add several bonus attributes, in fact any (or all) of the +records could do that, from a parsers view it is a nightmare. At least GML provides me with a fixed schema and +enforces it through out the file. + +When I'm storing data (as opposed to transferring it) I use PostGIS, it's fast and accurate, can store my data +in whatever projection I chose and is capable of interfacing with any GIS program I am likely to use, and if +I'm writing new code then it provides good, well tested libraries in all the languages I care about so I don't +have to get into the weeds of parsing binary formats. If I fetch a feature from PostGIS it will have exactly +the attributes I was expecting no more or less. It has good indexes and a nifty DSL (SQL) that I can use to +express my queries that get dealt with by a cool query optimiser that knows way more than I do about how to +access data in the database. + +If for some reason I need to access my data while I'm travelling or share it with a colleague then I will use +a GeoPackage which is a neat little database all packaged up in a single file. It's not a quick as PostGIS so +I wouldn't use it for millions of records but for most day to day GIS data sets it's great. You can even store +you QGIS styles and project in it to make it a single file project transfer format. + +One final point, I sometimes see people preaching that we should go cloud native (and often serverless) by +embracing "modern" standards like GeoJSON and COGs. GeoJSON should never be used as a cloud native storage +option (unless it's so small you can read it once and cache it in memory in which case why are you using the +cloud) as it is large (yes, I know it compresses well) and slow to parse (and slower still if you compressed +it first) and can't be indexed. So that means you have to copy the whole file from a disk on the far side of a +slow internet connection. I don't care if you have fibre to the door it is still slow compared to the disk in +your machine! + +![The Jack Sparrow worst pirate meme but for GeoJSON](/images/geojson.jpg ) diff --git a/images/geojson.jpg b/images/geojson.jpg new file mode 100644 index 0000000000000000000000000000000000000000..134e7fc1c862c36d0b624a6ac6f2a21f071bc065 GIT binary patch literal 69365 zcmb4~bx<75_V+hvAV9ESi@VF>9^BpCA;{u{;7@Ru1r~RA_dtR#9^4iPx;ViD0rKX# z_tx+K_e|B))ST}AoYOsBHPhdoKP!KJ0C1J%mE-}hUI75F{vLoo>i`)5GSa{H?-}{8 zp`fAsYp>DJP|+}6V`5^w#=yYDdW(hm2Imb11~wix&RbkuJX}mHd;)x2g1^_e|2FdK z-YB9smjN6*AtdKSKZt004mg>fdnx&ybK& zP|?s|y~gu+I! zaWv#t|NQ6@k;WeQ=MX@` zPok-xwxF#*(mgtH(>W@aS^TU{XA`A71vBc5pZVaCFsH!Vf=bG40}P z8Ug^2m48zJse4pR<2(V1_;R0q0FWDP6ch3S45!jQ(`06S103Syy;Uf|jOt3>pI3i) z-t?;C&3RTwU*ZqRTmHCPb1}Df(jmxk&#h^k&EI@jjsl>tNU!!)--*~C^GT!z0LTn} z9cD9pOza}squ_`Lv;_bTYyBx1)bN#q^R3$olan(6$b|q@<~1@xY!Cj4x@*Mkj~!mF ziea;B^Yx3Q049iWUlc~-#ICbiB=1D5w(|)On~3>qp_~UR0XzJN9nXKWo4uE)w-PNE 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