Map does not fill polygons in Google data studio filled map - google-data-studio
I'm trying to follow this tutorial to include a filled map in google studio. I've simplified my data (in Google BigQuery) so it is just simple polygons and an ID string:
WKT,origin
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"POLYGON ((-122.278671 37.827178,-122.278593 37.827164,-122.278528 37.827146,-122.278481 37.827133,-122.27812 37.827033,-122.277956 37.826993,-122.277909 37.827156,-122.277868 37.82732,-122.277977 37.827337,-122.278074 37.827666,-122.278206 37.828111,-122.278226 37.828177,-122.278299 37.828394,-122.27832 37.828454,-122.278343 37.828522,-122.278366 37.828592,-122.278381 37.828635,-122.278426 37.82876,-122.278441 37.828803,-122.278463 37.828864,-122.278369 37.829117,-122.278251 37.829429,-122.278215 37.82954,-122.278061 37.829934,-122.2779 37.830366,-122.277606 37.831136,-122.277556 37.831276,-122.277343 37.831835,-122.277415 37.831849,-122.277842 37.831915,-122.277977 37.831942,-122.277842 37.832304,-122.277821 37.832304,-122.277731 37.832292,-122.277684 37.832286,-122.27754 37.832268,-122.27743 37.832251,-122.277275 37.832227,-122.277204 37.832216,-122.277168 37.832297,-122.276943 37.832898,-122.276766 37.833361,-122.276679 37.833595,-122.27641 37.834279,-122.276146 37.83496,-122.275896 37.835661,-122.275607 37.83643,-122.275638 37.836447,-122.274641 37.836408,-122.274398 37.836441,-122.27367 37.836544,-122.273428 37.836578,-122.273356 37.836582,-122.272977 37.836621,-122.272961 37.836623,-122.272236 37.836722,-122.271628 37.836792,-122.271516 37.836805,-122.27118 37.836857,-122.270804 37.836906,-122.26968 37.837055,-122.269305 37.837105,-122.269268 37.837121,-122.269234 37.837136,-122.269151 37.837149,-122.269112 37.837156,-122.269029 37.837169,-122.268886 37.837192,-122.268784 37.837214,-122.268703 37.837232,-122.268459 37.837275,-122.268438 37.837279,-122.268327 37.837304,-122.268296 37.837307,-122.267935 37.837346,-122.267385 37.837408,-122.267064 37.83744,-122.266653 37.837482,-122.266589 37.837489,-122.266448 37.837511,-122.26612 37.837565,-122.265835 37.837606,-122.265631 37.837636,-122.265647 37.837578,-122.265755 37.837034,-122.266115 37.835227,-122.266118 37.835217,-122.266236 37.834625,-122.266258 37.834514,-122.266299 37.834312,-122.266327 37.834181,-122.266351 37.834071,-122.266379 37.833937,-122.266465 37.833538,-122.266494 37.833405,-122.266514 37.83331,-122.266578 37.833025,-122.266599 37.832931,-122.266628 37.832774,-122.266718 37.832303,-122.266748 37.832147,-122.266777 37.831985,-122.266865 37.8315,-122.266895 37.831339,-122.266939 37.831193,-122.266941 37.831181,-122.267006 37.830878,-122.267043 37.830698,-122.267077 37.830538,-122.267251 37.829656,-122.267277 37.82953,-122.267396 37.828952,-122.267419 37.828852,-122.267456 37.82869,-122.267555 37.828261,-122.267566 37.828205,-122.267599 37.828043,-122.267643 37.827829,-122.267828 37.827044,-122.267913 37.826942,-122.26824 37.826555,-122.2683 37.826485,-122.268368 37.826304,-122.268452 37.826078,-122.268507 37.825931,-122.268541 37.825796,-122.268541 37.825569,-122.268519 37.825298,-122.268411 37.825041,-122.268476 37.824813,-122.268546 37.824532,-122.268563 37.824462,-122.26883 37.824531,-122.269048 37.824571,-122.269348 37.824631,-122.269686 37.824696,-122.27274 37.825464,-122.273365 37.825637,-122.274402 37.825924,-122.274453 37.825935,-122.275061 37.826059,-122.275111 37.826176,-122.275129 37.826104,-122.275136 37.82608,-122.278488 37.826848,-122.278611 37.826878,-122.278638 37.826959,-122.27865 37.826993,-122.27872 37.827188,-122.278671 37.827178))","06001401000"
However, when I try to include this in the report, the map is completely filled. The tutorial (the map of Washington state underneath) works perfectly.
In this image, you can zoom in to see the polygons and they look fine. However, the "fill" does not fill the polygons, but instead the entire map. I've tried changing the CRS, as well as going between multipolygons and simple polygons. I've also played with what goes in the location field. But no matter what, the first record covers the map and is identified on mouseover.
The report is here.
Edit: Using BigQuery Geo Viz, I have found that BigQuery somehow adds a section of coordinates that covers the entire globe:
{ "origin": "06001401000", "WKT": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [180, 90], [-180, 90], [-180, -90], [180, -90], [180, 90] ], [ [-122.278671, 37.827178], [-122.278593, 37.827164], [-122.278528, 37.827146], [-122.278481, 37.827133], [-122.27812, 37.827033], ...
However, I cannot see this in the raw data.
The issue seems to be somewhere in the upload step. Big Query allows for upload of .csv files with WKT, but will not automatically detect WKT (as explained here). If the geo field is manually specified, it seems a set of coordinates that represent the planar map are added. Thus the "fill" field fills the entire map. These coordinates are not visible when querying the data in BigQuery.
A workaround is to let BigQuery convert it after upload:
SELECT ST_GEOGFROM(WKT) as tract_geo,
origin
FROM mydata
Related
Wrong outputs from torch.sub?
I’m currently using torch.sub alongside torch.div to obtain the MAPE between my predicted and true labels for my neural network although I’m not getting the answers I’m expecting. According to the example in the documentation, I should be getting a 4x1 tensor, not 4x4.
Could anyone clear this up for me?
print('y_true ', y_true)
y_true tensor([[ 46],
[262],
[ 33],
[ 35]], device=‘cuda:0’, dtype=torch.int16)
print('y_pred ', y_pred)
y_pred tensor([[[308.5075]],
[[375.8983]],
[[389.4587]],
[[406.4957]]], device=‘cuda:0’, grad_fn=)
print('torch.sub ', torch.sub(y_true, y_pred))
torch.sub tensor([[[-262.5075],
[ -46.5075],
[-275.5075],
[-273.5075]],
[[-329.8983],
[-113.8983],
[-342.8983],
[-340.8983]],
[[-343.4587],
[-127.4587],
[-356.4587],
[-354.4587]],
[[-360.4957],
[-144.4957],
[-373.4957],
[-371.4957]]], device='cuda:0', grad_fn=<SubBackward0>)
That is because y_pred has an extra dimension which means the y_true tensor probably gets broadcasted to the correct dimension. If you remove the extra last dimension you get the desired result: >>> torch.sub(y_true, y_pred[...,0]).shape torch.Size([4, 1])
SOLR - Getting all document entries from intersecting polygon of given search request
I'm running a SOLR with a set of OSM Addresses. On the other hand I have some polygons in the same collection. I got the JTS in my solr, everything is working fine. My problem: For example the user is searching for a specific address like this: /solr/select?q=Bruhweg&wt=json The result will look like something like this: "type":["Feature"], "wkt":["POLYGON((9.0650999 48.80407349974092,9.065108 48.80405349974092,9.0651604 48.804044599740934,9.0651758 48.80405819974092,9.0652663 48.804044699740935,9.0652795 48.804077499740934,9.065298 48.804074799740924,9.06531 48.80411229974091,9.0653315 48.80411249974092,9.0653495 48.804152299740906,9.0653595 48.804185299740894,9.065227 48.8042043997409,9.0652154 48.804206599740894,9.0652046 48.80417829974089,9.0651805 48.8041809997409,9.065163500000002 48.8041373997409,9.0651464 48.8041391997409,9.0651335 48.80409639974092,9.0651051 48.80409789974092,9.0650999 48.80407349974092))"], "properties.label":"Bruhweg 11" "properties.category":"address" where the field "wkt" is matched to the correct SOLR Type, which we can simply verify with the following request: solr/select?fq=wkt%3A%22Intersects(9.0650999%2048.80407349974092)%22&q=&wt=json* Notice that I have just taken the first coordinate from "Bruhweg 11" polygon. The result looks like this: "type":["Feature"], "wkt":["POLYGON((9.0650999 48.80407349974092,9.065108 48.80405349974092,9.0651604 48.804044599740934,9.0651758 48.80405819974092,9.0652663 48.804044699740935,9.0652795 48.804077499740934,9.065298 48.804074799740924,9.06531 48.80411229974091,9.0653315 48.80411249974092,9.0653495 48.804152299740906,9.0653595 48.804185299740894,9.065227 48.8042043997409,9.0652154 48.804206599740894,9.0652046 48.80417829974089,9.0651805 48.8041809997409,9.065163500000002 48.8041373997409,9.0651464 48.8041391997409,9.0651335 48.80409639974092,9.0651051 48.80409789974092,9.0650999 48.80407349974092))"], "properties.label":"Bruhweg 11" "properties.category":"address" "type":["Feature"], "wkt":["POLYGON((9.04226364394244 48.78375351560371,9.056374594613018 48.78376897799828,9.059599869694331 48.78163342420202,9.081809522348271 48.78162969553386,9.081761686040636 48.78226547394644,9.082034238895682 48.78253237030596,9.0856383112481 48.783065728036505,9.081013408886774 48.784895520573016,9.08026549061692 48.78523860978792,9.075279465525824 48.78709720944531,9.075385415333642 48.78784623302399,9.075233988916805 48.78855044494239,9.07538936442188 48.789573632543714,9.076086792392704 48.7899895067132,9.076400978454831 48.79076807795856,9.076954863544922 48.791675940101136,9.077323565779931 48.79247426327167,9.077661454940172 48.79359088232947,9.07820886975919 48.79468135994337,9.078817709274189 48.79498392847467,9.079201898938019 48.79520667445914,9.08016333903955 48.79554857516962,9.079778914425672 48.79518198750416,9.079578091974522 48.79467583486249,9.07960878146339 48.79427927263826,9.079777474351143 48.794273758443296,9.079890211573053 48.79495800149708,9.08018722352202 48.795156515552904,9.080499405509059 48.795473674672415,9.080691862967708 48.795850379952874,9.080924981851217 48.79602374816294,9.081213923069749 48.79636161227024,9.08216503129647 48.797025378100585,9.082445049467385 48.796812064430696,9.082997510785853 48.79666782293686,9.083016532890815 48.798210792078066,9.084546369553149 48.79818997904426,9.08436196313672 48.79857684935421,9.084539100024378 48.798725962114545,9.084861025057869 48.79994602380419,9.084990671623789 48.80091802856458,9.08494424868377 48.80165186074672,9.085041682576207 48.80209339903589,9.08538756537159 48.802966378021715,9.086053469766966 48.80390370812341,9.085797560540206 48.803894003364,9.085814723600494 48.80437509265621,9.085407910580006 48.80612600144947,9.086188011009677 48.80771257109675,9.087281863093846 48.80971073096298,9.086304168618957 48.809607114458665,9.08560710806074 48.80961663014216,9.084061519923088 48.80938486330555,9.084077207035987 48.80980658042419,9.083543243778244 48.811250273222925,9.056400173581295 48.81120764569635,9.055584833918676 48.81131770190693,9.05233070753251 48.81010351728196,9.050449180583943 48.81143341235964,9.047719936766072 48.81048226708057,9.047480579846537 48.81086460229471,9.04435778697807 48.809744505510096,9.042626974936422 48.809303638995836,9.038908229735283 48.80850647660382,9.037144908448282 48.808184194812405,9.038129032787538 48.805980772861595,9.038328485640509 48.8051777307488,9.03824791543268 48.80471104904327,9.03876113924191 48.80479984728909,9.03889592317821 48.802984244443905,9.037701980314722 48.802949557020376,9.036369132836748 48.80272688628704,9.035368430087201 48.802290085608014,9.035368259304592 48.8020471956323,9.033685064639178 48.801228620567926,9.032644752493526 48.800737922085965,9.03217057774127 48.8000889091118,9.032098034258505 48.799508062093246,9.031417252535123 48.79921048432656,9.031802215987176 48.798784151506815,9.031441019924467 48.798238377399365,9.03225196905176 48.797687782137466,9.033547957749326 48.79595641436032,9.038695453795164 48.79394510865497,9.03934415364024 48.7933001500083,9.041676969957162 48.7917058788909,9.043068750531523 48.789672193708604,9.043444520390391 48.788257529857816,9.043555307907576 48.787275490180576,9.042249027750703 48.785802079685375,9.042512195810728 48.784854079302804,9.042199907427747 48.7840458175582,9.04226364394244 48.78375351560371))"], "properties.label":"polygonA", "properties.category":"polygons" What I want: If the user is just searching for Bruhweg I want as result the address AND the polygonA from category polygons Any Idea how to solve this?
How to get a list of Coinbase CryptoCurrency Coins
I've been trying to figure out a way to get a list of all the Coins that Coinbase has listed (not necessarily for trade) but can't figure it out, in the early days it was easy as you could just login and see the list of 4 basic coins that were supported (and could hard code those values in a program and/or script). But now they have a list of many coins listed, some as I understand, which are not available to actually trade but are listed for educational purposes (as stated on their site when looking at such coins). I was wondering if anyone has figured out a way to get a list those coins (all supported and simply listed) perhaps with a tag of which are actually supported for trade. I looked at the API and the REST API (using a simple GET request over HTTPS or using cURL for testing) has the following endpoints: curl https://api.coinbase.com/v2/currencies - This lists all the Fiat currencies. and: curl https://api.pro.coinbase.com/products - This lists all the supported trading pairs (which is not what I'm looking for....) Any ideas, short of logging in and parsing the html? (which could break since the site can be reformatted etc at any time). Any help would be greatly appreciated!
perhaps not really what you asked, but you could also use https://api.pro.coinbase.com/currencies import requests import json uri = 'https://api.pro.coinbase.com/currencies' response = requests.get(uri).json() for i in range(len(response)): if response[i]['details']['type'] == 'crypto': print(response[i]['id]) This will return the coins available for trading.
I'm not sure if I this is the response that you want or not. I first used the first URL that you have listed... The response from that looked like it didn't have the available coins. I then tried the below URL instead and the response does have a lot of curriencies listed on it. You can parse it by loading with JSON and looking for the fields that you want.
Also I didn't see a language posted with your question. I'm using python3 below. If you're a Linux person you can also just use curl GET from the command line. It doesn't matter the language... you just need to make a GET request to that URL and parse the response however you see fit.
To get 1 particular field you can use a line like response['data']['rates']['BTC'] to extract '0.00029200' out of the response/JSON string.
>>> r = requests.get("https://api.coinbase.com/v2/exchange-rates")
>>> response = json.loads(r.text)
>>> pprint.pprint(response)
{'data': {'currency': 'USD',
'rates': {'AED': '3.67',
'AFN': '75.22',
'ALL': '108.84',
'AMD': '487.59',
'ANG': '1.79',
'AOA': '311.37',
'ARS': '37.32',
'AUD': '1.38',
'AWG': '1.80',
'AZN': '1.70',
'BAM': '1.71',
'BAT': '9.00418244',
'BBD': '2.00',
'BCH': '0.00879160',
'BDT': '83.80',
'BGN': '1.71',
'BHD': '0.377',
'BIF': '1824',
'BMD': '1.00',
'BND': '1.58',
'BOB': '6.90',
'BRL': '3.65',
'BSD': '1.00',
'BTC': '0.00029200',
'BTN': '71.11',
'BWP': '10.41',
'BYN': '2.15',
'BYR': '21495',
'BZD': '2.02',
'CAD': '1.31',
'CDF': '1631.00',
'CHF': '0.99',
'CLF': '0.0242',
'CLP': '656',
'CNH': '6.71',
'CNY': '6.70',
'COP': '3174.95',
'CRC': '608.98',
'CUC': '1.00',
'CVE': '96.90',
'CZK': '22.50',
'DJF': '178',
'DKK': '6.52',
'DOP': '50.44',
'DZD': '118.30',
'EEK': '14.61',
'EGP': '17.68',
'ERN': '15.00',
'ETB': '28.52',
'ETC': '0.25542784',
'ETH': '0.00944599',
'EUR': '0.87',
'FJD': '2.10',
'FKP': '0.76',
'GBP': '0.76',
'GEL': '2.66',
'GGP': '0.76',
'GHS': '4.98',
'GIP': '0.76',
'GMD': '49.52',
'GNF': '9210',
'GTQ': '7.74',
'GYD': '208.55',
'HKD': '7.85',
'HNL': '24.49',
'HRK': '6.49',
'HTG': '78.37',
'HUF': '276',
'IDR': '13940.00',
'ILS': '3.63',
'IMP': '0.76',
'INR': '70.93',
'IQD': '1190.000',
'ISK': '120',
'JEP': '0.76',
'JMD': '132.72',
'JOD': '0.710',
'JPY': '109',
'KES': '100.60',
'KGS': '68.70',
'KHR': '4015.00',
'KMF': '429',
'KRW': '1114',
'KWD': '0.303',
'KYD': '0.83',
'KZT': '380.63',
'LAK': '8559.50',
'LBP': '1511.15',
'LKR': '178.40',
'LRD': '160.75',
'LSL': '13.53',
'LTC': '0.03208728',
'LTL': '3.22',
'LVL': '0.66',
'LYD': '1.385',
'MAD': '9.53',
'MDL': '17.05',
'MGA': '3465.0',
'MKD': '53.78',
'MMK': '1519.04',
'MNT': '2453.75',
'MOP': '8.08',
'MRO': '357.0',
'MTL': '0.68',
'MUR': '34.23',
'MVR': '15.49',
'MWK': '728.47',
'MXN': '19.14',
'MYR': '4.10',
'MZN': '61.87',
'NAD': '13.53',
'NGN': '361.50',
'NIO': '32.60',
'NOK': '8.43',
'NPR': '113.78',
'NZD': '1.45',
'OMR': '0.385',
'PAB': '1.00',
'PEN': '3.33',
'PGK': '3.36',
'PHP': '52.13',
'PKR': '139.30',
'PLN': '3.73',
'PYG': '6084',
'QAR': '3.64',
'RON': '4.14',
'RSD': '103.53',
'RUB': '65.47',
'RWF': '886',
'SAR': '3.75',
'SBD': '8.06',
'SCR': '13.67',
'SEK': '9.05',
'SGD': '1.35',
'SHP': '0.76',
'SLL': '8390.00',
'SOS': '582.00',
'SRD': '7.46',
'SSP': '130.26',
'STD': '21050.60',
'SVC': '8.75',
'SZL': '13.52',
'THB': '31.23',
'TJS': '9.43',
'TMT': '3.50',
'TND': '2.968',
'TOP': '2.26',
'TRY': '5.18',
'TTD': '6.77',
'TWD': '30.72',
'TZS': '2317.00',
'UAH': '27.70',
'UGX': '3670',
'USD': '1.00',
'USDC': '1.000000',
'UYU': '32.58',
'UZS': '8380.00',
'VEF': '248487.64',
'VND': '23287',
'VUV': '111',
'WST': '2.60',
'XAF': '573',
'XAG': '0',
'XAU': '0',
'XCD': '2.70',
'XDR': '1',
'XOF': '573',
'XPD': '0',
'XPF': '104',
'XPT': '0',
'YER': '250.30',
'ZAR': '13.27',
'ZEC': '0.02056344',
'ZMK': '5253.08',
'ZMW': '11.94',
'ZRX': '4.04721481',
'ZWL': '322.36'}}}
The following code: import requests uri = 'https://api.pro.coinbase.com/currencies' response = requests.get(uri).json() for i in range(len(response)): if response[i]['details']['type'] == 'crypto': print(response[i]['id']) Will provide this output: COTI BTC ETH LTC BCH ZEC XTZ XRP XLM EOS ALGO DASH ATOM CGLD FIL ADA ICP SOL DOT DOGE OXT KNC MIR REP COMP NMR ACH BAND ZRX BAT LOOM UNI YFI LRC CVC DNT MANA GNT REN LINK BAL ETC USDC RLC DAI WBTC NU AAVE SNX BNT GRT SUSHI MLN ANKR CRV STORJ SKL AMP 1INCH ENJ NKN OGN FORTH GTC TRB CTSI MKR UMA USDT CHZ SHIB BOND LPT QNT KEEP CLV MASK MATIC OMG POLY FARM FET PAX RLY PLA RAI IOTX ORN AXS QUICK TRIBE UST REQ TRU WLUNA
you can use curl -X GET https://api.exchange.coinbase.com/products refer to https://docs.cloud.coinbase.com/exchange/reference/exchangerestapi_getproducts
DbGeography - select polygons/linestrings contained inside polygon
I have a case where I want to load map objects located inside users viewport.
This is how I create users viewport rectangle:
DbGeography viewport_rectangle = DbGeography.FromText(string.Format("POLYGON(({0} {1}, {0} {2}, {3} {2}, {3} {1}, {0} {1}))", lon_min, lat_min, lat_max, lon_max));
Then I want to select all objects (Points, PolyLines, Polygons, located inside that rectangle):
var objects = db.mapobjects.Where(x => !x.LocationGeographic.Intersects(viewport_rectangle));
Everything until here works fine. The problem occours if PolyLine/Polygon is not entirely contained inside the viewport polygon. In this case it's ignored and I get "no objects" instead of objects, where some points/edges are out of the viewport.
Is there any alternative to "Intersects"? I want to select objects contained in the viewport rectangle, regardless if they are inside at all, or if only one small part of them is inside of the viewport rectangle.
viewport_rectangle = {SRID=4326;POLYGON ((15.693584159016611
46.532346466357438, 15.693584159016611 46.532770863495614, 15.695530101656916 46.532770863495614, 15.695530101656916 46.532346466357438, 15.693584159016611 46.532346466357438))}
Object which is only partially located inside viewport_rectangle and should be returned as a result:
LINESTRING (15.694189164787527 46.532622094224166, 15.694309193640944
46.532614944062828, 15.694392677396532 46.5326121762582, 15.694401059299702 46.532662919320614, 15.694536175578829 46.532621632923423, 15.694564338773485 46.532659690218026, 15.694584455341097 46.532614944062828, 15.694570373743769 46.532578039989573, 15.694489236921068 46.53258611275777, 15.694502312690016 46.532539290685662, 15.694723930209872 46.53252614359414, 15.69474438205361 46.532575041532539, 15.694786962121723 46.532516225610692, 15.694763492792843 46.532481858630774, 15.694699790328738 46.532507922181281, 15.694884862750767 46.532493852478581, 15.694849658757446 46.53254505695287)
One part of LINQ generated query:
SELECT
[Filter1].[ObjectId] AS [ObjectId],
[Filter1].[LocationGeographic] AS [LocationGeographic],
FROM (SELECT [Extent1].[ObjectId] AS [ObjectId], [Extent1].[LocationGeographic] AS [LocationGeographic]
FROM [dbo].[mapobjects] AS [Extent1]
WHERE (([Filter1].[LocationGeographic].STIntersects(#p__linq__0)) <> cast(1
as bit))
) AS [Project1]
Edited:
the correct order of viewport_rectangle should be:
DbGeography viewport_rectangle = DbGeography.FromText(string.Format("POLYGON(({0} {1}, {2} {1}, {2} {3}, {0} {3}, {0} {1}))", lon_min, lat_min, lon_max, lat_max));
You appear to have a ring orientation problem with your polygon. The order in which you specify your points matters. The polygon, as you've defined it, is the entire globe minus a very small square (presumably, your desired viewport). How did I determine this?
declare #line geography = geography::STGeomFromText('LINESTRING (15.694189164787527 46.532622094224166, 15.694309193640944 46.532614944062828, 15.694392677396532 46.5326121762582, 15.694401059299702 46.532662919320614, 15.694536175578829 46.532621632923423, 15.694564338773485 46.532659690218026, 15.694584455341097 46.532614944062828, 15.694570373743769 46.532578039989573, 15.694489236921068 46.53258611275777, 15.694502312690016 46.532539290685662, 15.694723930209872 46.53252614359414, 15.69474438205361 46.532575041532539, 15.694786962121723 46.532516225610692, 15.694763492792843 46.532481858630774, 15.694699790328738 46.532507922181281, 15.694884862750767 46.532493852478581, 15.694849658757446 46.53254505695287)', 4236),
#poly geography = geography::STGeomFromText('POLYGON ((15.693584159016611 46.532346466357438, 15.693584159016611 46.532770863495614, 15.695530101656916 46.532770863495614, 15.695530101656916 46.532346466357438, 15.693584159016611 46.532346466357438))', 4236);
select #poly.EnvelopeAngle(); --returns 180
select #poly.ReorientObject().STIntersects(#line); --returns 1
Best you read up on the EnvelopeAngle() method yourself. But I'll say this - I use it as a quick heuristic to detect the ring orientation problem you have here. Invariably, if a polygon has this problem, the envelope angle will be 180 (which is almost never what you intended).
I've also given away the punchline on how to fix it in the code above; calling ReorientObject() on the polygon changes clockwise to counterclockwise (and vice versa).
Finally, it looks like your line string was fully contained within your viewport; I tested with STContains(). Which explains why you were getting false before when what you thought was your viewport was everything but the viewport!
SQL Server : geography data type: GeomFromGml
I have troubles to load data into a geography data type: DECLARE #g geography; DECLARE #x xml; SET #x = '<gml:MultiSurface gml:id="HVO.20584" srsName="urn:ogc:def:crs:EPSG::5514" srsDimension="2" xmlns:gml="http://www.opengis.net/gml/3.2"> <gml:surfaceMember> <gml:Polygon gml:id="HVO.20584.1"> <gml:exterior> <gml:LinearRing> <gml:posList>-747267.00 -1056204.00 -747226.00 -1056232.00 -747239.00 -1056253.00 -747251.00 -1056278.00 -747267.00 -1056315.00 -747291.00 -1056365.00 -747337.00 -1056470.00 -747311.00 -1056474.00 -747244.00 -1056475.00 -747155.00 -1056467.00 -747077.00 -1056501.00 -747112.00 -1057366.00 -747263.00 -1057857.00 -747263.20 -1057857.05 -747263.30 -1057856.60 -747272.50 -1057858.50 -747276.10 -1057850.21 -747285.47 -1057849.89 -747295.34 -1057849.55 -747308.73 -1057848.34 -747320.38 -1057847.28 -747346.97 -1057857.70 -747358.66 -1057860.00 -747374.12 -1057860.55 -747386.06 -1057860.19 -747407.98 -1057859.54 -747444.60 -1057874.26 -747447.75 -1057879.52 -747454.57 -1057890.92 -747674.02 -1057865.46 -747851.54 -1057841.44 -747855.78 -1057838.67 -747871.68 -1057851.47 -747902.20 -1057870.55 -747916.06 -1057881.32 -747934.07 -1057891.87 -747960.03 -1057915.53 -747985.14 -1057954.40 -748001.13 -1057977.02 -748021.22 -1058003.59 -748088.58 -1058092.68 -748104.73 -1058095.49 -748166.00 -1058032.60 -748193.50 -1058002.40 -748214.40 -1057982.20 -748216.40 -1057988.60 -748293.20 -1058053.20 -748297.14 -1058050.03 -748302.55 -1058045.67 -748306.53 -1058042.47 -748311.89 -1058038.15 -748316.50 -1058034.44 -748320.83 -1058030.95 -748330.04 -1058023.54 -748332.15 -1058021.83 -748337.10 -1058017.85 -748341.39 -1058014.39 -748353.30 -1058004.80 -748347.67 -1057996.70 -748338.28 -1057981.31 -748335.70 -1057977.29 -748332.12 -1057971.71 -748330.30 -1057968.92 -748325.55 -1057961.32 -748317.05 -1057947.55 -748310.89 -1057935.02 -748307.10 -1057924.52 -748302.70 -1057912.35 -748298.54 -1057900.12 -748295.48 -1057891.13 -748286.20 -1057862.27 -748278.37 -1057838.25 -748276.55 -1057834.04 -748267.49 -1057808.20 -748264.92 -1057798.33 -748262.21 -1057787.93 -748254.57 -1057761.59 -748251.89 -1057752.13 -748247.59 -1057736.93 -748240.11 -1057716.13 -748237.47 -1057685.67 -748234.93 -1057657.42 -748234.51 -1057652.51 -748234.98 -1057625.54 -748234.51 -1057622.46 -748231.40 -1057602.21 -748233.13 -1057596.29 -748234.13 -1057592.87 -748237.61 -1057582.60 -748238.48 -1057580.02 -748249.72 -1057571.70 -748250.10 -1057571.42 -748252.39 -1057569.73 -748256.83 -1057563.57 -748258.55 -1057540.99 -748250.24 -1057535.67 -748250.94 -1057526.41 -748243.01 -1057522.35 -748236.51 -1057522.75 -748234.73 -1057522.86 -748230.54 -1057518.95 -748211.65 -1057501.36 -748199.48 -1057493.59 -748189.98 -1057489.26 -748179.90 -1057484.66 -748168.54 -1057470.65 -748168.29 -1057470.34 -748165.98 -1057467.49 -748157.92 -1057458.13 -748147.31 -1057450.99 -748146.04 -1057423.54 -748145.40 -1057410.42 -748144.91 -1057400.47 -748144.08 -1057372.43 -748142.62 -1057348.91 -748142.48 -1057347.16 -748141.05 -1057329.37 -748142.26 -1057321.94 -748146.21 -1057304.13 -748148.14 -1057295.42 -748146.30 -1057289.44 -748144.73 -1057284.34 -748141.64 -1057275.31 -748144.63 -1057272.64 -748154.01 -1057247.80 -748151.29 -1057246.55 -748127.50 -1057235.56 -748110.70 -1057228.23 -748082.39 -1057214.75 -748057.48 -1057203.76 -748041.82 -1057196.01 -748029.14 -1057189.74 -748010.10 -1057178.36 -747979.25 -1057161.25 -747957.25 -1057147.63 -747943.14 -1057138.66 -747937.35 -1057131.26 -747926.97 -1057121.60 -747909.48 -1057109.13 -747904.01 -1057106.36 -747895.25 -1057106.99 -747873.33 -1057094.64 -747869.74 -1057093.00 -747851.77 -1057082.31 -747869.79 -1057044.54 -747836.92 -1057032.09 -747795.65 -1057016.73 -747793.70 -1057009.93 -747787.82 -1056992.87 -747781.28 -1056974.44 -747776.81 -1056960.35 -747768.14 -1056933.57 -747762.16 -1056911.71 -747757.80 -1056895.21 -747753.30 -1056877.50 -747749.17 -1056859.18 -747744.25 -1056838.69 -747741.79 -1056821.91 -747739.99 -1056803.90 -747737.12 -1056781.92 -747735.82 -1056761.48 -747735.01 -1056740.42 -747736.57 -1056718.66 -747738.55 -1056694.68 -747741.17 -1056669.07 -747744.02 -1056634.01 -747745.17 -1056623.46 -747748.09 -1056596.69 -747755.37 -1056564.46 -747759.01 -1056547.20 -747761.29 -1056536.38 -747761.56 -1056535.10 -747772.54 -1056491.85 -747774.05 -1056485.90 -747786.35 -1056435.41 -747786.99 -1056433.22 -747796.41 -1056400.93 -747799.01 -1056392.00 -747799.01 -1056392.00 -747799.00 -1056392.00 -747723.00 -1056390.00 -747615.00 -1056374.00 -747596.00 -1056372.00 -747564.00 -1056375.00 -747539.00 -1056382.00 -747513.00 -1056389.00 -747487.00 -1056344.00 -747472.00 -1056316.00 -747458.00 -1056290.00 -747455.00 -1056283.00 -747445.00 -1056265.00 -747433.00 -1056243.00 -747424.00 -1056225.00 -747420.00 -1056218.00 -747412.00 -1056205.00 -747399.00 -1056188.00 -747388.00 -1056173.00 -747383.00 -1056167.00 -747371.00 -1056154.00 -747370.00 -1056153.00 -747362.00 -1056145.00 -747356.00 -1056141.00 -747356.00 -1056140.00 -747334.00 -1056160.00 -747267.00 -1056204.00</gml:posList> </gml:LinearRing> </gml:exterior> </gml:Polygon> </gml:surfaceMember> </gml:MultiSurface>'; SET #g = geography::GeomFromGml(#x, 4326); I get this exception: A .NET Framework error occurred during execution of user-defined routine or aggregate "geography": System.FormatException: 24129: The given XML instance is not valid because the top-level tag is gml:MultiSurface. The top-level element of the input Geographic Markup Language (GML) must contain a Point, LineString, Polygon, MultiPoint, MultiGeometry, MultiCurve, MultiSurface, Arc, ArcString, CompositeCurve, PolygonPatch or FullGlobe (geography Data Type only) object. What do I need to change in the #x variable to get it working? Thanks
Note, the answer here refers to the question of dealing with the coordinates above, that are not geodesic, as raised in the comments, and not with the original question of parsing the XML, which was answered in the comments. After a bit of digging, it seems that the Czech Republic's projection is now known as http://spatialreference.org/ref/sr-org/czech-s-jtsk-gis-esri102067/. If you look at that page you will see that the coordinates are in meters, and are negative, just as in your XML above. This WKT representation gives you information about the datum, spheroid and other characteristics of the projection. SQL Server does not currently support projecting from one coordinate system to another, so you have two options. 1). Load it as is, but as a geometry not a geography datatype, so your last line above would become SET #g = geometry::GeomFromGml(#x, 5514); where 9819 appears to be the SRID code in the above link (although it is all a bit unclear). This actually doesn't matter that much, as you can't convert from one spatial reference system to another, but you will be able to perform any geometry functions on your geometries, such as STIntersects, STContains, STBuffer, etc. 2). Convert it to lat/lon (4326) outside of SQL Server and then import as a geography data type, if that it what you really want. There is as tool called gdaltransform which does this, eg, gdaltransform -s_srs "+proj=krovak +lat_0=49.5 +lon_0=24.83333333333333 +alpha=0 +k=0.9999 +x_0=0 +y_0=0 +ellps=bessel +towgs84=570.8,85.7,462.8,4.998,1.587,5.261,3.56 +units=m +no_defs" -t_srs EPSG:4326 -747267.00 -1056204.00 24.8307791587916 50.4239544736181 32.0127759873867 14.3847700978484 49.9644982150517 45.4088854994625 where you enter the first line, with the projection info, hit Return, then enter the coordinates and then you get the answer. From this you can see that it is giving a lat/lon 14.38, 49.96, which is in Prague, so definitely the Czech Republic. This approach isn't very scalable, so you would probably want to look at something like Proj4j which is a Java library for doing coordinate transforms.