Mapping parking infractions in Manhattan, NYC, by car make

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This is a technical explanation of procedure to map parking infractions in Manhattan for every available car make. To see the interactive visualization, click here, or click the image below. Otherwise read on.

Heatmaps for Audi and Bentley
Heatmaps for Audi and Bentley

Last year I published an Android app to enable Slovenian drivers to better avoid areas frequently inspected by parking wardens. It works by geolocating the user and then plotting issued paring tickets in the vicinity, with a breakdown by month, time of day and temperature on another screen. It was not a huge hit, but it did reasonably well for such a small country and no marketing budget.

I was thinking of making a version for New York City, but then abandoned the project. These visualizations are all that remains of it.

I started with downloading the data from New York Open Data repository. It’s here. The data is relatively rich, but it’s not geocoded. Luck had it that Mapbox just rolled out a batch geocoder at that time, and it was free with no quotas. So I quickly sent around 100,000 adresses through it and saved the results in a database for later use. The processed result is now available on Downloads page in form of JSON files, one per car make.

The actual drawing procedure was easier than I thought. I downloaded street data from New York GIS Clearinghouse and edited out everything but Manhattan with QGis.

First I tried a promising matrix approach, but I was unable to rotate the heatmap so that it would make sense. Here’s an example for Audi:

Matrix - Audi
Matrix – Audi

 

As you can see, it is a heatmap, but doesn’t look very good.

So I wrote a Python script that went through all street segments and awarded a point if there was an infraction closer that 100 meters from the relevant segment. Then I just used matplotlib to draw all the street segments, coloring them according to the maximum segment value.

A result for Audi now looks like this:

Audi
Audi

All that remained was drawing required images for animated GIFs, each for every hour for every car make. This was done with minimal modifications to original script (I learned Python multithreading in the process). The resulting images were then converted to animated GIFs with ImageMagic.

The whole procedure took approximately 12h of calculating and rendering time on a i7-6700 with 32 GB RAM. I guess I could shave several hours from that time, but I just let it run overnight.

See interactive version here, and tell me what you think in the comment section, if you feel like it.

 

Books I read in 2015

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This is a result of

find *.mobi  -newermt "2015-01-01 00:00"

command in my Kindle Documents folder. If anything, it shows I’m a compulsive reader, preferring Nordic crime novels, cyberpunk sci-fi and historical and natural sciences non-fiction. I probably read ten more programming-oriented books in PDFs, which I’m not including here.

My favorites were novels by Don Winslow and Richard K. Morgan. I also read most of the essays by Miles Mathis, about which I’m still forming an opinion.

127 books in all, in no particular order:

Acid Dreams – Martin A. Lee
A Killing Winter – Tom Callaghan
Altered Carbon – Richard K. Morgan
A Nasty Piece of Work_ A Novel – Robert Littell
Angelica’s Smile – Andrea Camilleri
Anne Holt – What is Mine (Punishment)
A Noble Killing – Barbara Nadel
Artificial Intelligence for Humans, Volume 2- Heaton, Jeff
Artificial Intelligence for Humans, Volume 3 – Jeff Heaton
Aurora – Kim Stanley Robinson
Autumn Killing_ A Thriller – Mons Kallentoft
Axis – Robert Charles Wilson
Beyond Words_ What Animals Think and Feel – Carl Safina
Black Man – Richard K. Morgan
Blackwater – Kerstin Ekman
Blessed Are Those Who Thirst – Anne Holt
Blind Goddess_ A Hanne Wilhelmsen Novel – Anne Holt
Blood on Snow_ A Novel – Jo Nesbo
Broken Angels – Richard K. Morgan
Burned – Thomas Enger
Cibola Burn_ Book Four of the E – James S. A. Corey
Closed for Winter – Jorn Lier Horst
Cold Hearts – Gunnar Staalesen
Complicity – Iain Banks
Consider Phlebas – Iain M. Banks
Dark Secrets – Michael Hjorth
Deadline – Barbara Nadel
Dead of Night – Barbara Nadel
Death by Design – Barbara Nadel
Death of the Demon_ A Hanne Wilhelmsen N – Anne Holt
Destination Void – Frank Herbert
Dope, Inc. Britain Opium War against the U – LaRouche
Drug War Capitalism – Dawn Paley
Epiphany of the Long Sun – Gene Wolfe
Excession – Iain M. Banks
Feersum Endjinn – Iain M. Banks
Inspector of the Dead – David Morrell
Inversions – Iain M. Banks
Killing Pablo – Mark Bowden
Legends – Robert Littell
Litany of the Long Sun – Gene Wolfe
Look to Windward – Iain M. Banks
Magicians of the Gods_ The Forg – Graham Hancock
Mao – Jung Chang
Marid Audran 01 – When Gravity Fails – George Alec Effinger
Marid Audran 02 – A Fire in the Sun – George Alec Effinger
Marid Audran 03 – The Exile Kiss – George Alec Effinger
Market Forces – Richard K. Morgan
Matter – Iain M. Banks
Midnight Sun_ Blood on Snow 2 – Jo Nesbo
Mirrors – Eduardo Galeano
Mother Russia – Robert Littell
Murder as a Fine Art – David Morrell
Nemesis Games – James S. A. Corey
Pierced – Thomas Enger
Poseidon’s Wake – Alastair Reynolds
Pretty Dead Things – Barbara Nadel
Satori – Don Winslow
Savage Continent – Lowe, Keith
Scarred_ A Novel – Thomas Enger
Seveneves – Neal Stephenson
Shadow and Claw – Gene Wolfe
Shibumi – Trevanian
Silenced – Kristina Ohlsson
Smilla’s Sense of Snow – Peter Hoeg
Snowblind – Jonasson, Ragnar
Spin – Wilson, Robert Charles Charles
Spring Tide – Borjlind, Cilla
Summer Death_ A Thriller – Mons Kallentoft
Superintelligence – Nick Bostrom
Sweet Reason – Robert Littell
Sword and Citadel – Gene Wolfe
The Abrupt Physics of Dying – Paul E. Hardisty
The Algebraist – Iain M. Banks
The Cartel_ A Novel – Don Winslow
The Caveman – Jorn Lier Horst
The Cold Commands – Richard K. Morgan
The Company – Robert Littell
The Consorts of Death – Gunnar Staalesen
The Dark Defiles (Land Fit for Heroes #3) – Richard K. Morgan
The Dosadi Experiment – Frank Herbert
The Eiger Sanction – Trevanian
The Ethnic Cleansing of Palestine – Ilan Pappe
The Fifth Profession – David Morrell
The Fire Witness_ A Novel – Lars Kepler
The Girl in the Spider’s Web (Millennium s – David Lagercrantz
The Gulag Archipelago, Volume 1_ An Expe – Solzhenitsyn, Aleksandr
The Gulag Archipelago, Volume 2_ An Expe – Solzhenitsyn, Aleksandr
The Hanging Girl – Jussi Adler-Olsen
The Healer – Antti Tuomainen
The House of the Scorpion – Farmer, Nancy
The Hydrogen Sonata – Iain M. Banks
The Intruder – Hakan Ostlundh
The Jesus Incident – Frank Herbert
The Lady from Zagreb – Philip Kerr
The Life-Changing Magic of Tidying Up_ The – Kondo, Marie
The Loo Sanction – Trevanian
The Lord of Opium – Farmer, Nancy
The Master Algorithm – Pedro Domingos
The New York Trilogy – Paul Auster
The Nightmare_ A Novel – Lars Kepler
The Once and Future Spy – Robert Littell
The Patience of the Spider – Andrea Camilleri
The Player of Games – Iain M. Banks
The Power of the Dog – Don Winslow
The Real Odessa – Goni, Uki
The Shape of Water – Andrea Camilleri
The Snack Thief – Andrea Camilleri
The State Of The Art – Iain M. Banks
The Steel Remains – Richard K. Morgan
The Summer of Katya – Trevanian
The Urth of the New Sun – Gene Wolfe
The Viper – Hakan Ostlundh
The White Plague – Frank Herbert
The Winter of Frankie Machine – Don Winslow
The Writing on the Wall – Gunnar Staalesen
Third Voice – Borjlind, Cilla
Thirteen – Richard K. Morgan
Vicious Circle – Robert Littell
Visiting Professor_ Novel of Chao – Robert Littell
Vortex – Robert Charles Wilson
We Shall Inherit the Wind – Gunnar Staalesen
‘What Do You Care What Other People Think_ – Richard P Feynman
Whipping Star – Frank Herbert
Woken Furies – Richard K. Morgan
Getting MEAN – Simon Holmes
Yours Until Death – Gunnar Staalesen

 

Densities of different tree species in Ljubljana on minimaps

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This is a rework of the visualization I did for the Dnevnik newspaper. The Ljubljana government was generous enough to give us a location database with information on species and location of every tree within city limits. I thought it would be nice to render every species on its own map, so that the distributions can be compared.

Instead of just drawing points where each tree is, I calculated distance from each building to all the trees, and increased the building “score” if a tree was within 150 meters distance. Then I colored the buildings according to the score – the darker green it is, the more trees in its vicinity.

See the detailed version by clicking here or the image below.

Tree densities: example minimaps
Tree densities: example minimaps

The aforementioned article depicted the areas with higher potential for causing allergenic reactions due to specific tree species that grow there, but it also has a detailed map with every building colored in proportion with its distance from trees in vicinity.

See the article by clicking here or the image.

Dnevnik article screenshot
Dnevnik article screenshot

 

Maps of various name suffix densities in USA and Slovenia

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This post and maps were inspired by Moritz Stefaner’s -ach, -ingen, -zell. I firmly believe in giving credits to whom they are due, so there it is.

That said, I embarked into a similar adventure, first for Slovenia. Etimology of Slovenian towns and other populated places may differ a little from German one, so I was naturally curious what it would be like on a map. I had several geo files for Slovenia around, and also a comprehensive list of all populated places with coordinates, making this a relatively short endeavour.

In addition to common suffices suffixes, I also extracted common prefixes. This is because many Slovenian place names begin with “Gornja” (Upper) or “Velika” (Great), so I wanted to see if there are meaningful spatial distributions of these names. It turns out that they are.

For example, this one. By columns: “gornja” (a variant of “upper) vs “dolnja” (variant of “lower”), “zgornja” and “dolnja” (another couple of variations on the same dichotomy), the “velika” and “mala” (“great” and “small”). It’s apparent that places with those prefixes have characteristic spatial distributions. Why, I don’t know. Dialects of Slovenian language vary wildly, to the point that some of them are virtually incomprehensible to me.

To see the interactive version with more maps, click here, or click the image. Switch between prefixes and suffixes using links in the upper left square.

Distribution of places with some common prefixesprefixes
Distribution of places with some common prefixes

Having written the code and downloaded the geonames.org database, it was just a  matter of changing a few things to produce a similar map of a similar distribution in the USA. I colored it a litlle differently, but it’s basically the same thing.

Again,  click here or the image for interactive version. Note that you can click on a little link above each map to display the list of place names.

Density of places with specific suffixes in the USA

Then, a friend and coworker of mine said that he always wondered about the distributions of U.S. towns with borrowed names from European places. That would effectively show distributions of immigration in early history of USA, with exception of Spanish names, which tend to be on the Mexican border because of history, and some random noise in string matchings.

Here’s an image. Click here or map for interactive version.

Borrowed names distribution in US
Check out the maps! Some technical details: the maps were drawn with d3, and hexagons produced with the hex-binning plugin.

Name matching was not a big challenge, but I did want to find unique suffixes. So I wrote some software to first isolate the most frequently occurring seven character suffixes, then I gradually shortened them until big dropoff,  say, more than 50 places occurred. That way I prevented near duplicates to be included, for example “-ville”, “-ille”, “-lle”, which have approximate same distribution, so only one of them has a place on the map.

The biggest challenge was in fact generating a hex grid within the borders, and then fitting the data inside it. That’s the reason the pages need some time to load. I brute-forced that by generating points inside the bounding box and checking if withing the polygon in question with turf.js, then setting all hexagon lenghts to zero, and finally filling them with real data.

Hope you enjoy the maps!

 

Map of apartment building management companies in Ljubljana

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Some time ago, I did an analysis of building manager companies for dnevnik.si. It was an interesting project, because there’s much controversy surrounding this topic. Some of these companies have been in bitter disputes with the residents and competing companies over their business, generating a lot of newspaper coverage.

We did a simple analysis to deterimine market shares and relative winners and losers in comparison to market leader. Here’s an image of final page in the newspaper. Click it to open the PDF.

upravniki_dnevnik
Newspaper page in Dnevnik.si

 

We also did a lot of other stuff that didn’t find their way into the final article. I’m now publishing an interactive map, showing the distribution of these companies across town. There’s usually one per apartment building. For this map, I only processed the apartment buildings with more than one apartment, because that’s where business is.

Click on the image below to open the map in a new tab, or click here.

Click for interactive map of apartment building managers
Click for interactive map of apartment building managers

Click on a building, and a popup will display the address and relevant history. It’s also possible to choose a company, and the map will refresh, displaying only the buildings in the selected company’s management. There’s also a button to display only those buildings where managers changed in the interval from years 2005 to 2015.

There’s also a graphic showing how many buildings a company gained from other companies. Here’s a screenshot. Click will take you to the same page as image above.

Who gained boildings from whom in Ljubljana
Who gained buildings from whom in Ljubljana

 

The original dataset came from GURS, but then we were able to acquire an update from the city government. We decided to use that, because they gave us three different updates, each five years apart, from which we were able to calculate the differences. You can see them in table below.

  • total flats: how many apartments are managed by a company,
  • gained: how many flats were gained by the company from 2005 to 2015,
  • lost: how many flats were lost by the company from 2005 to 2015.

Original data is here.

Company Total flats Gained Lost
SPL D.D., FRANKOPANSKA ULICA 18A, 1519 LJUBLJANA 107130 38 429
INSTA D.O.O., KOPRSKA ULICA 94, 1000 LJUBLJANA 2338 0 183
METALKA STANOVANJSKE STORITVE D.O.O., INDUSTRIJSKA CESTA 1, 1000 LJUBLJANA 22529 669 382
SZ RUSKI CAR D.O.O., GLINŠKOVA PLOŠČAD 22, 1000 LJUBLJANA 5515 256 182
PRACTIC D.O.O., LJUBLJANA, CELOVŠKA CESTA 147, 1000 LJUBLJANA 8355 92 511
VALINA UPRAVLJANJE, D.O.O., LITIJSKA CESTA 45, 1000 LJUBLJANA 480 72 10
DONF D.O.O., MAJORJA LAVRIČA ULICA 12, 1000 LJUBLJANA 6891 167 741
STANDOM ENGINEERING OTRIN D.O.O., BRNČIČEVA ULICA 13, 1231 LJUBLJANA – ČRNUČE 5661 113 20
AKTIVA UPRAVLJANJE D.O.O., LJUBLJANSKA CESTA 12F, 1236 TRZIN 8764 335 52
ŽELVA D.O.O., SAMOVA ULICA 9, 1000 LJUBLJANA 13550 187 236
UPRADOM D.O.O., LINHARTOVA CESTA 13, 1000 LJUBLJANA 3141 187 0
MASTRA D.O.O., ZALOŠKA CESTA 153, 1120 LJUBLJANA 6566 198 260
VALOR D.O.O., LJUBLJANA, ROZMANOVA ULICA 1, 1000 LJUBLJANA 351 26 42
M.I.S. D.O.O. LJUBLJANA, PROLETARSKA CESTA 4, 1000 LJUBLJANA 3999 318 22
LORA, D.O.O., ZALOŠKA CESTA 163, 1000 LJUBLJANA 5084 0 24
TENIT, D.O.O., LJUBLJANA, GAŠPERŠIČEVA ULICA 23, 1120 LJUBLJANA 2631 154 146
TABOR UPRAVLJANJE IN VZDRŽEVANJE D.O.O., TABOR 9, 1000 LJUBLJANA 4729 71 0
UVG D.O.O., LINHARTOVA CESTA 17, 1000 LJUBLJANA 7189 304 503
MANICOM D.O.O., POVŠETOVA ULICA 65, 1000 LJUBLJANA 118 0 34
KOVAČEVIČ MARIJA, MAJDE VRHOVNIKOVE ULICA 18, 1000 LJUBLJANA 48 0 0
PATE, D.O.O., TOPNIŠKA ULICA 19, 1000 LJUBLJANA 1867 0 800
STANDOM D.O.O., ULICA ANE ZIHERLOVE 6, 1000 LJUBLJANA 5306 48 462
SKUPNOST LASTNIKOV POT K RIBNIKU 16-22, POT K RIBNIKU 16, 1000 LJUBLJANA 656 0 0
GDM D.O.O., MIVKA 19, 1000 LJUBLJANA 38 0 38
HIŠNI SERVIS MATIČ D.O.O. LJUBLJANA-ČRNUČE, CESTA 24. JUNIJA 74, 1231 LJUBLJANA – ČRNUČE 994 173 28
DISTOR D.O.O., KAVČIČEVA ULICA 58, 1000 LJUBLJANA 2792 102 109
HEKER D.O.O., LJUBLJANA, CELOVŠKA CESTA 144, 1000 LJUBLJANA 3119 33 96
VEGRIM D.O.O., LJUBLJANA, MEDVEDOVA CESTA 25, 1000 LJUBLJANA 3519 11 18
T & S D.O.O., LJUBLJANA, PARMOVA ULICA 53, 1000 LJUBLJANA 944 50 14
MAVSAR D.O.O., GORAZDOVA ULICA 19, 1000 LJUBLJANA 1505 0 47
G.V. CENTER D.O.O. LJUBLJANA, BRNČIČEVA ULICA 31, 1231 LJUBLJANA – ČRNUČE 7701 16 23
EMONA PLUS D.O.O., ŠMARTINSKA CESTA 130, 1528 LJUBLJANA 4855 1096 60
MAG DOM GORAZD MAKAROVIČ S.P., PODPEČ 21, 1312 VIDEM-DOBREPOLJE 166 14 0
STANOVANJSKA ZADRUGA TOMAČEVO JARŠE , Z.O.O., TOMAČEVO 1, 1000 LJUBLJANA 8272 32 10
KOMSTAN D.O.O., LJUBJANA, CELOVŠKA CESTA 291, 1000 LJUBLJANA 786 0 460
DOMO, D.O.O., MAJORJA LAVRIČA ULICA 12, 1000 LJUBLJANA 7649 845 42
LORA – LJUBLJANA, D.O.O., ZALOŠKA CESTA 163, 1000 LJUBLJANA 3119 20 215
AL-MA LJUBLJANA, BRODARJEV TRG 3, 1000 LJUBLJANA 233 0 233
SCH – GROUP INVEST D.O.O., DUNAJSKA CESTA 63, 1000 LJUBLJANA 10 0 0
STANOVANJSKA ZADRUGA RTV Z.O.O., LINHARTOVA CESTA 17, 1000 LJUBLJANA 1521 0 952
REKO D.O.O., PARMOVA ULICA 39, 1000 LJUBLJANA 37 0 17
REYAN D.O.O. LJUBLJANA, NEUBERGERJEVA ULICA 3, 1000 LJUBLJANA 3889 60 167
FINANCE-OPERATIVA D.O.O., KNEZA KOCLJA ULICA 37, 1000 LJUBLJANA 3105 255 52
DOM EFEKT D.O.O., OBIRSKA ULICA 1A, 1000 LJUBLJANA 5988 0 0
EMONA UPRAVLJANJE D.O.O., ŠMARTINSKA CESTA 130, 1000 LJUBLJANA 2367 0 286
S & H D.O.O., LJUBLJANA, MLINSKA POT 19, 1231 LJUBLJANA – ČRNUČE 32 0 32
UPSO D.O.O., PRUŠNIKOVA ULICA 95, 1210 LJUBLJANA – ŠENTVID 1980 328 0
GOSPODAR D.O.O., TRŽAŠKA CESTA 42, 1000 LJUBLJANA 13859 332 6
ALTARA D.O.O., ULICA HERMANA POTOČNIKA 19, 1000 LJUBLJANA 56 56 0
LESNINA LGM SI D.O.O., PROLETARSKA CESTA 4, 1000 LJUBLJANA 266 12 14
KIDREAL D.O.O., ZALOŠKA CESTA 1, 1000 LJUBLJANA 780 0 0
STUPRA D.O.O. LJUBLJANA, KRAKOVSKI NASIP 22, 1000 LJUBLJANA 72 0 16
DOMCOMMERCE D.O.O., PUHOVA ULICA 1, 1000 LJUBLJANA 186 0 60
TERCA D.O.O., ŠENTRUPERT 124, 8232 ŠENTRUPERT 677 77 0
FERDOM D.O.O., DOLENJSKA CESTA 242, 1000 LJUBLJANA 154 154 0
TABOR LJUBLJANA, D.D., TABOR 9, 1000 LJUBLJANA 288 130 93
KREATOR POSLOVNI CENTER, D.O.O., LITIJSKA CESTA 38, 1119 LJUBLJANA 318 0 0
PRIMA PLUS D.O.O., SLOVENČEVA ULICA 93, 1000 LJUBLJANA 1696 72 34
GRUDA MARTIN PILIH S.P., VIDEM 1, 1380 CERKNICA 96 96 0
PUN NEPREMIČNINE D.O.O. LJUBLJANA, KERSNIKOVA ULICA 10A, 1000 LJUBLJANA 2140 38 410
TEVIS – AGENCIJA ZA KADRE, D.O.O., KOTNIKOVA ULICA 28, 1000 LJUBLJANA 706 22 0
IMOVINA, D.O.O., LJUBLJANA, GOSPOSVETSKA CESTA 10, 1000 LJUBLJANA 214 16 0
NAŠA SOSESKA D.O.O., BRILEJEVA ULICA 8, 1000 LJUBLJANA 1898 743 0
MARBONA D.O.O. LJUBLJANA, ZALOŠKA CESTA 269, 1000 LJUBLJANA 455 199 0
DOMPLAN, D.D., BLEIWEISOVA 14, 4000 KRANJ 1160 24 0
SINTAL-EKO D.O.O., LITOSTROJSKA CESTA 38, 1000 LJUBLJANA 993 22 13
CIGALE & CO. D.O.O., GORIŠKA ULICA 63, 1000 LJUBLJANA 1996 0 54
MINISOPH, D.O.O., LJUBLJANA, GOSPOSKA ULICA 3, 1000 LJUBLJANA 80 0 0
FIDELIS D.O.O. LJUBLJANA, ZIHERLOVA ULICA 39, 1000 LJUBLJANA 138 0 101
KRIČKA ANA-IVANA S.P. UPRAVLJANJE S STAN. ZGRADBAMI, CESTA V MESTNI LOG 38, 1000 LJUBLJANA 364 0 262
SEGA IGOR, ČERNETOVA ULICA 26, 1000 LJUBLJANA 10 0 0
JUSTIN GABRIJEL, FLANDROVA ULICA 10, 1210 LJUBLJANA – ŠENTVID 8 0 0
SKUPNOST LASTNIKOV STANOVANJ LINHARTOVA 66, LINHARTOVA CESTA 66, 1112 LJUBLJANA 112 0 0
LIKAR IN SIN D.O.O., EFENKOVA CESTA 61, 3320 VELENJE 78 0 78
KATIN D.O.O., ROJČEVA ULICA 26, 1000 LJUBLJANA 25 0 25
SO – 06 SMOLIČ STANISLAV D. N. O., JAKČEVA ULICA 2, 1000 LJUBLJANA 167 0 167
ARTTEL D.O.O., STANEŽIČE 2, 1210 LJUBLJANA – ŠENTVID 821 0 345
AGING 1, D.O.O., DUNAJSKA CESTA 109, 1000 LJUBLJANA 66 0 0
DIMIC PETER, ULICA STANETA SEVERJA 2A, 1000 LJUBLJANA 12 0 0
SKUPNOST LASTNIKOV BRATOVŠEVA PLOŠČAD 35 IN 37, BRATOVŠEVA PLOŠČAD 37, 1000 LJUBLJANA 116 0 0
ZORKO D.O.O. LJUBLJANA, AGROKOMBINATSKA CESTA 12, 1000 LJUBLJANA 8 0 0
DEAN DARABOŠ S.P., NOVE FUŽINE 33, 1000 LJUBLJANA 429 405 0
SIMON ZORE S.P., KRANJSKA CESTA 4, 4240 RADOVLJICA 26 26 0
IZHOD D.O.O. LJUBLJANA, PERIČEVA ULICA 13, 1000 LJUBLJANA 155 0 25
MMC & CO. D.O.O. LJUBLJANA, TABOR 9, 1000 LJUBLJANA 499 0 159
SKUPNOST LASTNIKOV HIŠE MUCHERJEVA 3, MUCHERJEVA ULICA 3, 1000 LJUBLJANA 16 0 16
DONOR D.O.O., BRILEJEVA ULICA 14, 1000 LJUBLJANA 117 5 20
SPO D.O.O., BLAŽEVA ULICA 3, 4220 ŠKOFJA LOKA 65 11 0
DOP D.O.O. LJUBLJANA, VOJKOVA CESTA 50, 1000 LJUBLJANA 150 0 0
SKUPNOST ETAŽNIH LASTNIKOV VOGELNA 8 LJUBLJANA, VOGELNA ULICA 8, 1000 LJUBLJANA 112 0 0
SKUPNOST LASTNIKOV STANOVANJ LINHARTOVA 62, LINHARTOVA CESTA 62, 1000 LJUBLJANA 112 0 0
ZVEZDA 18-21 D.O.O., ZVEZDA 18, 1210 LJUBLJANA – ŠENTVID 92 0 92
MAHIČ JASMIR, PAPIRNIŠKA POT 2, 1261 LJUBLJANA – DOBRUNJE 40 0 0
STANISLAV TAJČMAN S.P. UPRAVLJANJE STAN. HIŠ, PRVOMAJSKA ULICA 10, 1000 LJUBLJANA 120 0 0
SKUPNOST LASTNIKOV BRATOV UČAKAR 108/110, ULICA BRATOV UČAKAR 110, 1000 LJUBLJANA 96 0 96
LAPUH MILAN, VOJKOVA CESTA 11, 1000 LJUBLJANA 16 0 0
ODA NEPROFITNA STANOVANJSKA ZADRUGA Z.O.O., DUNAJSKA CESTA 101, 1000 LJUBLJANA 112 0 0
B TECH D.O.O., CESTA ANDREJA BITENCA 68, 1000 LJUBLJANA 43 31 0
MILAVC ZDENKO, VRHOVNIKOVA ULICA 11, 1000 LJUBLJANA 18 0 0
DROFENIK D.O.O., STEGNE 7, 1000 LJUBLJANA 250 202 0
LUTOVAC PLUS LJUBLJANA, IGRIŠKA ULICA 3, 1000 LJUBLJANA 18 0 0
MARIJA ZALOŽNIK S.P., CESTA V MESTNI LOG 38, 1000 LJUBLJANA 116 106 0
PINACEA D.O.O., MORAVČE PRI GABROVKI 64, 1274 GABROVKA 82 0 0
DOMA, D.O.O., GROSUPLJE, ZALOG PRI ŠKOFLJICI 2, 1291 ŠKOFLJICA 80 80 0
HAAD LJUTIČ&CO. K.D., KAŠELJSKA CESTA 121, 1260 LJUBLJANA – POLJE 12 0 0
ŠANJUG BARBKA, MAJDE VRHOVNIKOVE ULICA 22, 1000 LJUBLJANA 48 0 0
STANOVANJSKA ZADRUGA NAŠA HIŠA Z.B.O., JAKČEVA ULICA 39, 1000 LJUBLJANA 154 0 154
STUPAR STEVO, ŠMARTINSKA CESTA 15, 1000 LJUBLJANA 10 0 0
STANOVANJSKA ZADRUGA MARIBOR Z.O.O., KREKOVA ULICA 18, 2000 MARIBOR 32 0 0
BRANDT UPRAVLJANJE D.O.O., POLJANSKI NASIP 32, 1000 LJUBLJANA 16 0 0
KOMMUNIO D.O.O., METELKOVA ULICA 7B, 1000 LJUBLJANA 39 39 0
PRIMUS PROJEKT D.O.O., SREDNJEVAŠKA ULICA 85, 1291 ŠKOFLJICA 54 6 0
PRIMOS D.O.O. LJUBLJANA, SVETČEVA ULICA 14, 1000 LJUBLJANA 8 0 0
ISIS D.O.O., SLOVENSKA CESTA 17, 1000 LJUBLJANA 20 0 0
PECHER ANDREJ, VIDEMSKA ULICA 1, 1000 LJUBLJANA 6 0 0
DOLHAR MARIJA, FLANDROVA ULICA 8, 1210 LJUBLJANA – ŠENTVID 10 0 0
SZ GLINŠKOVA PLOŠČAD 22 Z.O.O. LJUBLJANA, GLINŠKOVA PLOŠČAD 22, 1000 LJUBLJANA 50 0 50
FINISTUS – BLATNIK&BLATNIK D.N.O, BEBLERJEV TRG 3, 1000 LJUBLJANA 190 0 0
BINO D.O.O., JAKČEVA ULICA 43, 1000 LJUBLJANA 308 0 0
PETAN JANEZ, KREMŽARJEVA 10, 1000 LJUBLJANA 6 0 0
DOM D.O.O., DELPINOVA ULICA 8, 5000 NOVA GORICA 20 0 0
MEZEK JANEZ, AGROKOMBINATSKA CESTA 4, 1000 LJUBLJANA 44 0 0
TERČELJ ANDREJ, TRUBARJEVA CESTA 64, 1000 LJUBLJANA 8 8 0
ELDERA, D.O.O., MEDENSKA CESTA 81E, 1000 LJUBLJANA 77 0 17
DOM SISTEMI D.O.O., ULICA LOJZETA HROVATA 3A, 4000 KRANJ 60 60 0
NATUM D.O.O. LJUBLJANA, CESTA V PODBORŠT 10, 1231 LJUBLJANA – ČRNUČE 10 0 0
UPIS D.O.O., DUNAJSKA CESTA 437, 1291 ŠKOFLJICA 5 5 0
SKUPNOST LASTNIKOV RUSJANOV TRG 9, RUSJANOV TRG 9, 1000 LJUBLJANA 558 0 0
KITAK, SI.INVEST K.D., LJUBLJANA, BRODARJEV TRG 7, 1000 LJUBLJANA 7 7 0
SREČKO KITAK S.P., BRODARJEV TRG 7, 1000 LJUBLJANA 30 0 0
SKUPNOST LASTNIKOV TRNOVSKA ULICA 8, TRNOVSKA ULICA 8, 1000 LJUBLJANA 51 0 51
ŽAVBI VINCENC, TOPNIŠKA ULICA 14, 1000 LJUBLJANA 26 0 26
HORVAT VLADIMIR, FLANDROVA ULICA 6, 1210 LJUBLJANA – ŠENTVID 16 0 0
ATAC D.O.O. LJUBLJANA, DUNAJSKA CESTA 104, 1000 LJUBLJANA 8 0 0
SKUPNOST ETAŽNIH LASTNIKOV STANOVANJSKE STAVBE SMOLETOVA 18, LJUBLJANA, SMOLETOVA ULICA 18, 1000 LJUBLJANA 98 0 0
SKUPNOST LASTNIKOV GORNJI TRG 20, GORNJI TRG 20, 1000 LJUBLJANA 14 0 0
SKUPNOST ETAŽNIH LASTNIKOV STANOVANJSKE STAVBE VOGELNA 10 LJUBLJANA, VOGELNA ULICA 10, 1000 LJUBLJANA 54 0 54
K”ITAK D.O.O., BRODARJEV TRG 7, 1000 LJUBLJANA 34 0 0
BLAZNIK VOJKO, FLANDROVA ULICA 7, 1210 LJUBLJANA – ŠENTVID 8 0 0
SKUPNOST LASTNIKOV, PAVŠIČEVA 6 LJUBLJANA, PAVŠIČEVA ULICA 6, 1000 LJUBLJANA 152 0 0
SKOMINA MARIJA, TRŽAŠKA CESTA 65, 1000 LJUBLJANA 9 9 0
UNIH D.O.O., FAJFARJEVA ULICA 33, 1000 LJUBLJANA 64 64 0
BOJAN GLAVAN S.P., VIKRČE 22, 1211 LJUBLJANA-ŠMARTNO 84 0 0