Closed jirihelmich closed 9 years ago
Subscribing @jindrichmynarz to be able to track progress. Subscribing @tobice to be able to integrate the new vocabulary to his thesis.
OK, so the basic datastructure is the same, ASKs are exactly the same, just one thing - labels, check won't pass since it wants s:label
, but rdfs:label
is in the data. However, the visualizer will handle that.
Will add another feature for filtering by using skos:Concept
.
Therefore, discovery will run only and only if the datasource is made of two named graphs, one with the dump you provided and one with the following:
@prefix dcterms: <http://purl.org/dc/terms/>.
@prefix xsd: <http://www.w3.org/2001/XMLSchema#>.
@prefix foaf: <http://xmlns.com/foaf/0.1/>.
@prefix vann: <http://purl.org/vocab/vann/>.
@prefix skos: <http://www.w3.org/2004/02/skos/core#>.
@prefix pspc: <http://www.w3.org/2015/03/inspire/ProtectionClassification#> .
@prefix cc: <http://creativecommons.org/ns#> .
<http://www.w3.org/2015/03/inspire/ProtectionClassification> a skos:ConceptScheme ;
dcterms:issued "2015-04-20"^^xsd:date ;
dcterms:creator <http://philarcher.org/foaf.rdf#me> ;
cc:license <https://creativecommons.org/publicdomain/zero/1.0/> ;
dcterms:title "The INSPIRE Protection Classification Enumeration values expressed in SKOS"@en ;
dcterms:description """In the INSPIRE data model, the value of the siteProtectionClassification property of a
Proteted Site, must be one of a defined list of string values. This is a SKOS representation of that enumeration.
Note that lower camel case is used so that no adjustment in capitalisation is necessary when converting
enumerated values to the URIs of these concepts."""@en ;
foaf:maker [foaf:homepage <http://www.smartopendata.eu/>];
vann:preferredPrefix "pspc" ;
dcterms:publisher [foaf:homepage <http://www.smartopendata.eu>; foaf:name "SmartOpenData project"] ;
dcterms:partOf <http://www.w3.org/2015/03/inspire/>;
dcterms:type <http://purl.org/adms/assettype/Ontology>;
dcterms:status <http://purl.org/adms/status/UnderDevelopment>;
dcterms:source <http://inspire.ec.europa.eu/index.cfm/pageid/2/list/datamodels> .
pspc:natureConservation a skos:Concept ;
skos:prefLabel "nature conservation"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:archaeological a skos:Concept ;
skos:prefLabel "archaeological"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:cultural a skos:Concept ;
skos:prefLabel "cultural"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:ecological a skos:Concept ;
skos:prefLabel "ecological"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:landscape a skos:Concept ;
skos:prefLabel "landscape"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:environment a skos:Concept ;
skos:prefLabel "environment"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
pspc:geological a skos:Concept ;
skos:prefLabel "geological"@en ;
skos:inScheme <http://www.w3.org/2015/03/inspire/ProtectionClassification> .
So the descriptor for that is
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
ASK {
?s <http://www.opengis.net/ont/geosparql#hasGeometry> ?g ;
?prop ?object .
?object a skos:Concept .
}
Are you sure that those data are OK? When I pass WKT directly to openlayers (no transformation), this is what I get:
It reminds Slovakia, just the orientation is not right and it moved to Saudi Arabia and Yemen...
This usually happens if you interchange lat and lng.
It looks like latitude and longitude are switched. If I recall correctly, some tools (such as Leaflet.js) expect the coordinates to be in reverse order. Maybe that's the case of OpenLayers too?
The original dataset in Parliament still works fine, it must be wrong in your dump.
I just directly pass the WKT string to the OpenLayers in both cases. Parliament dataset works OK, the dump does not.
SAŽP data uses [latitude, longitude] order as defined by the EPSG:4258 projection. I see that OpenLayers uses point constructor with positional arguments that expects the arguments in [longitude, latitude] order.
Digging through my emails with SAŽP, I've found they changed the coordinate system in their WFS from EPSG:102067 to EPSG:4258, which could be the reason why the previous dump worked fine with OpenLayers.
OK, I will have a look what are my options, but..
What's the reason behind converting it?
I don't see a point in publishing the dataset as Linked Data to make it accessible and converting the non-LD literal to a worse format that is not compatible with the most known visualization library.
I asked Martin Tuchyňa from SAŽP to verify if I'm not mistaken. I'll post his response here when I get it.
One of the reason why EPSG:4258 was adopted instead of EPSG:102067 is that it is functionally equivalent to WGS84, which can be handled by most GIS tools, while EPSG:102067 is a more specific Czechoslovak coordinate system, which is not that widely supported. So the intention was actually to make the data more accessible.
As I've found (e.g., in here, here, or here) the order of latitude and longitude in geographical coordinates is a subject to wide disputes. For example, ESRI products use [longitude, latitude], while Google Maps uses [latitude, longitude]. In a situation like that I think tools should be able to switch the order of coordinates if desired.
I got feedback from Martin Tuchyňa. He confirmed that the coordinate system EPSG:4258 uses [latitude, longitude] order. This coordinate system is used because of the INSPIRE directive, which requires the use of ETRS89 (= EPSG:4258) coordinate system (see here). He also confirmed that OpenLayers uses [longitude, latitude] order and asked his colleagues who have experience with it about guidance on how to make it work with coordinates in the inverse order. I will post it here if there are some replies.
@jachym writes: "V OpenLayers 2 existuje pole OpenLayers.Layer.WMS.prototype.yx kam se může zapsat EPSG kódy systémů, které mají "prohozené" souřadnice." See also this.
OK, thanks for the feedback. I will explore my possibilities, but I'm not sure when, since I'm going to LDOW next week. But ASAP.
btw. it wasn't Křovák EPSG:102067, but EPSG:4326
You're right. But EPSG:4326 has the same order of axes as EPSG:4258; i.e. [latitude, longitude]. Moreover, as Martin Tuchyňa told me, EPSG:4258 functionally equivalent to EPSG:4326 (the difference is negligible for most practical purposes), so you can safely read EPSG:4258 data as if it was EPSG:4326 (if that helps you tame OpenLayers). Nevertheless, the problem with the inverse order of axes remains.
so you can safely read EPSG:4258 data as if it was EPSG:4326
The screen you saw was reading EPSG:4258 as EPSG:4326.
That's strange. As I found above, the order of axes should be the same for EPSG:4258 and EPSG:4326.
Anyway, if using EPSG:4258 in OL3 isn't only a configuration option away, I should discuss with Martin Tuchyňa if SAŽP shouldn't change the coordinate system to make their data easier to use.
Yes, it should. I will also try to strip the epsg prefix from the literal (if it's not done yet). And I'm trying to integrate proj4 as Honza Cibulka suggested on Twitter. pá 22. 5. 2015 v 22:51 odesílatel Jindřich Mynarz notifications@github.com napsal:
That's strange. As I found above, the order of axes should be the same for EPSG:4258 and EPSG:4326.
Anyway, if using EPSG:4258 in OL3 isn't only a configuration option away, I should discuss with Martin Tuchyňa if SAŽP shouldn't change the coordinate system to make their data easier to use.
— Reply to this email directly or view it on GitHub https://github.com/payola/LDVMi/issues/53#issuecomment-104764409.
OK, so I got projections working, but 4258 as a source has no effect. Are you sure it's that one?
I tried a few different ones, even Křovák, to confirm that the projection setup has some effect.
sourceProjection: ol.proj.Projection
axisOrientation_: "enu"
canWrapX_: false
code_: "EPSG:4258"
defaultTileGrid_: null
extent_: null
getPointResolutionFunc_: (resolution, point) {
global_: false
units_: undefined
worldExtent_: null
What do you mean by 4258 "not having an effect"?
I mean that those polygons are drawn at exactly same position as they were when I used 4236. út 26. 5. 2015 v 8:49 odesílatel Jindřich Mynarz notifications@github.com napsal:
What do you mean by 4258 "not having an effect"?
— Reply to this email directly or view it on GitHub https://github.com/payola/LDVMi/issues/53#issuecomment-105418380.
Guys, 4 things have to be set (speaking about OL3 and any input data):
1 - in which projection is the map supposed to be demonstrated (basically 3 options here: wgs84 aka epsg:4326, krovak aka epsg:5514, mercator aka epsg:3857) - stick to those EPSG codes, they are official, up-to-date, you should use them. Suggestion: use epsg:3857 if you are going global or krovak, if for some reason someone requires it
2 - projection of input data and their coordinate order
3 - configure projections for Proj4.js on the client properly - they are usually NOT part of Proj4.js distribution (e.g. krovak and others. wgs84 and mercator should be there)
4 - configure layers with proper input projections
If those steps are set, it will work.
Personal note: ask for help someone from CCSS if they are partners in the project. It's their field of expertise.
Hi, what I did is the following:
0)
<script src="https://cdnjs.cloudflare.com/ajax/libs/proj4js/2.3.6/proj4-src.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/ol3/3.5.0/ol-debug.js"></script>
1)
<script>
proj4.defs("EPSG:4258","+proj=longlat +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +no_defs");
</script>
2)
feature.getGeometry().transform('EPSG:4258', 'EPSG:3857');
I debugged the code and the correct projection of 4258 from proj4.defs
is used, if I remove the 1), transform
fails on NullPointer.
I guess that just axisOrientation
of the projection is not correct, since it's still in Yemen. If I remove the transformation, it's placed near Africa in the middle of the ocean (it presumes the polygon is in 3857). If I tried Křovák, it was near Sweden in the sea. Which means the transformation is somehow working, but results are still with bad axisOrientation.
I also tried to take 1 coord from the polygon at put it as it is into GMaps and it seemed to be correctly placed to Slovakia.
Thanks for those hints, really appreciate it!
Hard to say. Data sample could help.
Better then geometry.transform use ol.source.SourceOptions.projection definition
This is a sample, but SAZP already admitted it's not 4258 and they will investigate.
MULTIPOLYGON(((47.91268111960053 17.456804809197415, 47.912573962871825 17.457831501728915, 47.912786400465166 17.458771093487233, 47.91279536261803 17.45998604533253, 47.91233208473033 17.462606069857028, 47.91183204501357 17.46473075489889, 47.91146304450978 17.46777808831735, 47.91129768377528 17.470345088226242, 47.910533273816874 17.4725050608164, 47.90971017173033 17.47463139012559, 47.9085901246499 17.476776737626572, 47.90657864006733 17.47949160742134, 47.9054263244433 17.48206375473435, 47.90519926854094 17.484084102286523, 47.905031563246965 17.48642848015186, 47.90462050963278 17.488346657930617, 47.90409439179092 17.490145231705746, 47.90325972650858 17.49221971686375, 47.901984453681294 17.493681196707396, 47.90145829288363 17.49546283242389, 47.901169584854166 17.496952661388637, 47.900994191557395 17.49808197273094, 47.900326606306855 17.498620820892125, 47.900235438717075 17.5003544006582, 47.90047664039513 17.5023032789439, 47.900351525653335 17.504036666249295, 47.89990518559379 17.505622815169087, 47.898431918945676 17.50736067361341, 47.8956925963878 17.511020594269517, 47.894240233514566 17.51241848550856, 47.89291307334035 17.51381436927326, 47.89131453991179 17.515502442284404, 47.889498294340356 17.51719459704287, 47.8880440433343 17.518353989220778, 47.88701198756029 17.51938847352404, 47.8868012843328 17.52037633450731, 47.8861685180222 17.52143862454366, 47.88493438827275 17.523070095600698, 47.883379070508134 17.524554184221543, 47.88155075815516 17.525990604619754, 47.87966965892419 17.528395480854474, 47.877933406653995 17.530051875919625, 47.8760475252779 17.531471790410254, 47.874801959798596 17.53310262471293, 47.873234364234804 17.534450205616785, 47.871930376498966 17.535980917052605, 47.87036386002665 17.53731056301812, 47.86925046779194 17.53832899293834, 47.869061596290884 17.539061556806793, 47.868192532376774 17.540771051683045, 47.86724128956032 17.54190561448998, 47.8664230008406 17.542596659355805, 47.864880513936136 17.544265696367486, 47.86370637931809 17.54465647600951, 47.86230111676231 17.544491069985188, 47.861361556751476 17.543893728762278, 47.861000103697776 17.544612076671633, 47.86051175910002 17.545060655913918, 47.86022079133953 17.54601479573103, 47.86019370899942 17.547016206110893, 47.8602331735644 17.548016553511403, 47.8604349194107 17.549099577181504, 47.86071793422659 17.55063925548277, 47.86093880323682 17.551229614601812, 47.86103506686315 17.552042364443466, 47.86072845688637 17.552437404389288, 47.860093860584556 17.55122531280267, 47.85956959005596 17.549604119600318, 47.85964469930425 17.54884006372011, 47.85951437714505 17.54809508790391, 47.858635643483076 17.548057050070803, 47.8576246283503 17.547156052049147, 47.857325546079736 17.54671947023835, 47.85695590282099 17.546063888202937, 47.85632348471298 17.545343265201993, 47.85556359356542 17.54615248532616, 47.85409323397508 17.55029645783146, 47.8529082884843 17.554385435052083, 47.85422862490352 17.55565535756669, 47.85296424762901 17.559846888234354, 47.85240778363629 17.56233155714272, 47.8522872942859 17.563181599083617, 47.85248459534815 17.5637047799358, 47.85144062019268 17.56667108338759, 47.8508360721124 17.566629159649228, 47.85033922491023 17.567738778938196, 47.84896873542845 17.56767438271641, 47.847599216550435 17.567660176757194, 47.846778415316535 17.567908862063742, 47.84622948971322 17.567730719939068, 47.84551302608412 17.568233023233812, 47.84434941857675 17.56843625691555, 47.84347063129688 17.568432268353803, 47.84279136557603 17.56940898382195, 47.842458721819646 17.57116024449611, 47.84189002479051 17.57347489019041, 47.84121958835864 17.57585920449754, 47.83968616904511 17.577305347526092, 47.838816065870944 17.578776788122806, 47.83808572855196 17.580703068369672, 47.83732420198832 17.583359912054775, 47.836494885091184 17.586017016196912, 47.83544177076196 17.587524079606574, 47.83291331476598 17.590646189034352, 47.83127979641637 17.59233045910571, 47.829771129699736 17.594148774331536, 47.82839794565903 17.595507722414776, 47.827280732097535 17.59557124781073, 47.82617234309986 17.59571988582878, 47.82508490561582 17.59607263274176, 47.824145174615666 17.596934404121, 47.82351221664908 17.597967547545178, 47.823298949134184 17.599613887565422, 47.82323446992848 17.60134490109853, 47.822621501578226 17.60290413047513, 47.821891801776694 17.602361159848613, 47.821886363116555 17.601170027102317, 47.821804529860565 17.599871516140713, 47.82125555780654 17.59632900588837, 47.821036378825504 17.592899781683847, 47.82082721865992 17.589628854502624, 47.8199140940935 17.58656372012775, 47.81844589917874 17.583789924728883, 47.81687617466868 17.58055156061445, 47.814265975474974 17.57506514358121, 47.814020733183796 17.572917528113653, 47.81492766046572 17.57028765380384, 47.818096548535216 17.565474686963263, 47.821246656181756 17.560929932019725, 47.825290073263254 17.558014917276985, 47.82722035615534 17.55625075139453, 47.82851285530412 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17.479327410988002, 47.87761054759591 17.47872616153802, 47.877853648915234 17.478051721900776, 47.8784001271463 17.475974640147804, 47.87929941788521 17.471048593727303, 47.87969407779209 17.46774056958203, 47.88015610130815 17.4660218661206, 47.88020656263091 17.465694798285348, 47.88089094822912 17.46298466003691, 47.882005018212745 17.460265986740968, 47.88302846119417 17.458359786496253, 47.88372410879755 17.45692711428122, 47.88463289317512 17.45546372938131, 47.88619485926154 17.454119565449233, 47.88792584029398 17.452617708608408, 47.89025442721573 17.45148290842997, 47.89322245610791 17.450255917250548, 47.89527827317878 17.448786906996194, 47.89825365778377 17.44657212886325, 47.90155843205657 17.44390967465664, 47.90297471839781 17.442532344741462, 47.90492838435765 17.440597484681582, 47.90631663800949 17.43989067867394, 47.909740548293655 17.437956841126606, 47.914142120687295 17.43726847432829, 47.91535101499151 17.436560642120124, 47.91669338567215 17.435700147716236, 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hard to say, whether it is 4326 or 4258, but it definitely is y, x (lat, long) (if it's supposed to be somewhere in central europe)
Yes, it should be somewhere in Slovakia. So I need to alter the projection, which sets axisOrientation
to enu
? I thought that that should be a part of the projection settings.
Sorry, for the lame question, but it seems that you are an expert, I'm working with projections since last week and OL3 docs is not very helpful.
Thanks again, Jirka
Preview 1: Protected sites
Note that the filtering has no effect since the classification is the same for all entities.
Preview 2: Burdens
No filters, some additional data are present, we could think of how to use them, e.g. the risk level seems to be interesting, could be converted to a heatmap?
Preview 3: Biographical regions
No filters, no labels.
Preview 4: Species distribution
No filters, no labels (a bit more complicated path to label, currently not supported).
Land cover: Lot of data, no filters, no labels. Placed somewhere in Russia. Since it's again 4258, I don't think that this dataset is correct, all the others now work pretty well.
Btw. slows down my browser a lot.
Ad protected sites: you can try faceting by ps:legalFoundationDate
(year or decade) or ps:siteDesignation
as well.
Ad environment burdens: heatmap using cont:riskLevel
might work, although it won't be a classical heatmap visualizing frequency, but instead categorical distinction. As you hinted to, the data may contain other properties that are interesting for visualization.
Ad Corine land cover: Yes, there's a lot of data (approx. 150 MB), so simplification of geometries is probably necessary before loading it into a browser. Regarding the wrong position, that seems like an error of the source data. Would you like to raise it with SAŽP?
Ahoj,
mezitím jsme dospěli (snad) k finální verzi slovníků projektu SmartOpenData a podle ní jsem taky stihl aktualizovat data. Zásadní změnou od minula jsou v podstatě jen jmenné prostory.
Jmenný prostor slovník https://smod-ontologies.spaziodati.eu/ps je http://www.w3.org/2015/03/inspire/ps# (zatím neresolvuje). Druhou změnou je, že vlastnost ps:siteProtectionClassification už má namísto literálů jako objekty skos:Concepty z http://www.w3.org/2015/03/inspire/ProtectionClassification#.
Aktualizovaný dump: https://dl.dropboxusercontent.com/u/893551/pracovni/EEA/COMSODE/Pipelines/SAZP/sazp_protected_sites.ttl.gz
Dataset vypadá, že zůstane mimo záběr projektu SmartOpenData. Zůstává popsán vlastním slovníkem. Vše v dříve popsaném popisu by mělo platit. Změny byly jen kosmetické.
Aktualizovaný dump: https://dl.dropboxusercontent.com/u/893551/pracovni/EEA/COMSODE/Pipelines/SAZP/environmental_burdens.ttl.gz
Kromě toho mám aktualizované také zbývající datasety SAŽP:
Podoba dat už by se neměla měnit. Ještě budu data linkovat, ale to nezmění jejich základní formu.