Freie Geoinformation,
Methoden und Software

zum Nutzen von Umwelt und Gesellschaft.

HeiGIT (Heidelberg Institute for Geoinformation Technology) treibt die Geoinformationstechnologie zum Nutzen von Gesellschaft und Umwelt voran. Wir schließen die Kluft zwischen der Grundlagenforschung in der Geoinformatik und praktischen Anwendungen. Dabei entwickeln wir innovative Werkzeuge und Methoden, wie maßgeschneiderte Geodaten für humanitäre Einsätze und intelligente Routenplanung für Katastrophenhilfe und Klimaschutz.

Durch Fortschritte in der räumlichen Datenverarbeitung und im maschinellen Lernen erweitern und analysieren wir Geodaten wie OpenStreetMap. So stellen wir Forschern, Behörden und gemeinnützigen Organisationen frei zugängliche Werkzeuge und Datensätze zur Verfügung. Die HeiGIT gemeinnützige GmbH wurde 2019 als An-Institut der Universität Heidelberg gegründet und wird von der Klaus Tschira Stiftung getragen.

Urban Innovation Logo
Walk Space logo
Max Mustermann

Unser Ziel

Wir schließen die Lücke zwischen Grundlagenforschung
und praktischen Anwendungen der Geoinformatik.

Weiterlesen

Big Spatial Data Analytics

Unsere Dienste und Werkzeuge verbessern das Verständnis verschiedener Web 2.0-Datenquellen. Mithilfe von räumlichem Data Mining und maschinellem Lernen analysieren, verarbeiten, erweitern und visualisieren wir diese Daten.

Climate Action

Um die Kluft zwischen dem Bewusstsein für den Klimawandel und wirksamen Maßnahmen zu überbrücken, stellen wir handlungsfähige Datenanalysen und konkrete Werkzeuge zur Verfügung.

Geoinformationen für Humanitäre Hilfe

In enger Zusammenarbeit mit internationalen Hilfsorganisationen entwickeln wir Lösungen und Dienste zur Unterstützung humanitärer Einsätze. 

Intelligente Mobilität

Jede Einzelperson oder Weltregion erfordert einzigartige Mobilitätslösungen. Um diesen Ansprüchen gerecht zu werden, entwickeln wir maßgeschneiderte Routing- und Navigationsdienste.

Unsere
Kerntechnologien

Das Sketch Map Tool ist ein benutzerfreundliches Werkzeug für partizipative Kartierung durch offline Erfassung, Digitalisierung und Georeferenzierung lokaler Daten.

Sketch Map Tool

Wir entwickeln weltweit verfügbare Dienste und Schnittstellen, die eine Vielzahl spezialisierter Mobilitätsprofile unterstützen. Diese Lösungen fördern nachhaltigen Transport und humanitäre Logistik.

openrouteservice

Climate Action Navigator bietet hochauflösende Daten und Analysen zu wichtigen Klimaindikatoren, von Emissionen bis hin zu Nutzung von Verkehrsmitteln.

Climate Action Navigator

MapSwipe ist eine Open-Source-Aanwendung, die darauf ausgelegt ist, globale Kartierung koordinierter und effizienter zu gestalten.

MapSwipe

Das ohsomeNow-Dashboard bietet Echtzeit-Statistiken über die Kartierungsaktivitäten in OpenStreetMap auf globaler Ebene.

ohsomeNow

Die ohsome quality API ermöglicht den Zugriff auf Qualitätsinformationen zu OpenStreetMap-Daten, die speziell für bestimmte Regionen und Anwendungsfälle aufbereitet sind.

ohsome quality API

Neuste Veröffentlichungen

Alle Veröffentlichungen ansehen
5612809 HeiGIT 1 apa 5 date desc 34254 https://heigit.org/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3Afalse%2C%22meta%22%3A%7B%22request_last%22%3A0%2C%22request_next%22%3A0%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22A28339XE%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Randhawa%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BRandhawa%2C%20S.%2C%20Randhawa%2C%20G.%2C%20Langer%2C%20C.%2C%20Andorful%2C%20F.%2C%20Herfort%2C%20B.%2C%20Kwakye%2C%20D.%2C%20Olchik%2C%20O.%2C%20Lautenbach%2C%20S.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20The%20changing%20surface%20of%20the%20world%26%23x2019%3Bs%20roads.%20%26lt%3Bi%26gt%3BNature%20Communications%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B17%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%209345.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41467-026-76234-8%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41467-026-76234-8%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20changing%20surface%20of%20the%20world%5Cu2019s%20roads%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sukanya%22%2C%22lastName%22%3A%22Randhawa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Guntaj%22%2C%22lastName%22%3A%22Randhawa%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Clemens%22%2C%22lastName%22%3A%22Langer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Francis%22%2C%22lastName%22%3A%22Andorful%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benjamin%22%2C%22lastName%22%3A%22Herfort%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Kwakye%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Omer%22%2C%22lastName%22%3A%22Olchik%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sven%22%2C%22lastName%22%3A%22Lautenbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22Resilient%20road%20infrastructure%20is%20a%20cornerstone%20of%20the%20UN%20Sustainable%20Development%20Goals%20%28SDGs%29%2C%20yet%20spatially%20consistent%20information%20on%20road%20surface%20conditions%20at%20the%20global%20scale%20remains%20limited.%20We%20overcome%20this%20gap%20based%20on%20a%20deep%20learning%20framework%20that%20extracts%20both%20road%20pavedness%20and%20road%20width%20from%20Planetscope%20satellite%20imagery.%20Thereby%2C%20mapping%2095.5%25%20of%209.2%20million%20km%20of%20critical%20arterial%20roads%20for%202020%20and%202024%2C%20nearly%20half%20of%20which%20was%20previously%20unclassified.The%20resulting%20dataset%20and%20multi-scale%20analytical%20framework%20enable%20assessments%20of%20road%20infrastructure%20in%20the%20context%20of%20development%2C%20climate%20adaptation%2C%20and%20equity.Unlike%20proxies%20such%20as%20nighttime%20lights%2C%20the%20data%20directly%20captures%20the%20physical%20infrastructure%20underpinning%20resilience%20at%20higher%20spatial%20resolution.This%20dataset%20reveals%20a%20multi-scale%20geography%20of%20human%20development%2C%20capturing%20infrastructure%20investment%20and%20accessibility%20at%20the%20planetary%20scale%2C%20enabling%20a%20global%20Humanitarian%20Passability%20Matrix%20for%20humanitarian%20logistics%2C%20while%20also%20providing%20local%20insights%20into%20road%20disparities%5Cu2014for%20example%2C%20revealing%20governance-related%20patterns%20in%20Ghana%20and%20highlighting%20climate-related%20vulnerabilities%20in%20Pakistan.%22%2C%22date%22%3A%222026-09-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs41467-026-76234-8%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs41467-026-76234-8%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222041-1723%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-09-02T08%3A30%3A43Z%22%7D%7D%2C%7B%22key%22%3A%226W3CSG3J%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Reyes-Riveros%20et%20al.%22%2C%22parsedDate%22%3A%222026-09-01%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BReyes-Riveros%2C%20A.%2C%20Mart%26%23xED%3Bnez-Soto%2C%20A.%2C%20Lautenbach%2C%20S.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20Indoor%20dwelling%20habitability%3A%20conceptual%20evolution%2C%20methods%2C%20and%20key%20variables%20from%20a%20systematic%20review.%20%26lt%3Bi%26gt%3BIndoor%20Environments%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B3%26lt%3B%5C%2Fi%26gt%3B%283%29%2C%20100189.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.indenv.2026.100189%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.indenv.2026.100189%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Indoor%20dwelling%20habitability%3A%20conceptual%20evolution%2C%20methods%2C%20and%20key%20variables%20from%20a%20systematic%20review%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alejandro%22%2C%22lastName%22%3A%22Reyes-Riveros%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aner%22%2C%22lastName%22%3A%22Mart%5Cu00ednez-Soto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sven%22%2C%22lastName%22%3A%22Lautenbach%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22Indoor%20dwelling%20habitability%20is%20increasingly%20recognized%20as%20a%20determinant%20of%20health%2C%20comfort%2C%20and%20housing%20performance%3B%20however%2C%20its%20assessment%20remains%20conceptually%20fragmented%20and%20methodologically%20heterogeneous.%20This%20study%20presents%2097%20scientific%20contributions%20identified%20through%20a%20PRISMA%202020-guided%20process%3A%2068%20from%20systematic%20database%20searches%20%282016%5Cu20132025%29%20and%2029%20from%20complementary%20manual%20search.%20It%20clarifies%20the%20field%26%23039%3Bs%20conceptual%20evolution%2C%20methodologies%2C%20indices%2C%20and%20variable%20structures.%20Results%20reveal%20a%20marked%20expansion%20from%20technical-structural%20adequacy%20toward%20a%20multidimensional%20construct%20that%20includes%20health%20and%20well-being%2C%20reflecting%20cumulative%20integration%20rather%20than%20conceptual%20rupture%2C%20with%20a%20growth%20in%20publications%20that%20coincides%20with%20the%20post-COVID-19%20period.%20Regional%20trajectories%20vary%20according%20to%20climatic%2C%20socio-economic%2C%20and%20regulatory%20conditions%2C%20limiting%20unified%20operationalization%20across%20contexts.%20Mixed-methods%20approaches%20predominated%20%2847%25%29%2C%20reflecting%20the%20integration%20of%20environmental%20measurements%20with%20occupant%20perception.%20Despite%20methodological%20diversification%2C%20only%2018%25%20of%20the%20reviewed%20studies%20incorporated%20habitability-related%20indices%2C%20and%20just%202%25%20proposed%20indices%20focused%20on%20the%20dwelling%20interior.%20While%20the%20review%20identifies%20a%20persistent%20scarcity%20of%20interior-focused%20assessment%20frameworks%2C%20it%20also%20identifies%20a%20stable%20empirical%20core%20of%20indoor%20habitability%20variables.%20A%20total%20of%20220%20variables%20were%20identified%20and%20harmonized%20into%2052%20standardized%20variables.%20The%2030%20most%20recurrent%20variables%20appeared%20in%2094%25%20of%20the%20reviewed%20studies%2C%20suggesting%20a%20convergence%20around%20environmental%20and%20functional%20parameters%2C%20particularly%20lighting%2C%20ventilation%2C%20humidity%2C%20temperature%2C%20IAQ%2C%20basic%20services%20and%20overcrowding.%20These%20results%20should%20be%20read%20in%20light%20of%20the%20review%26%23039%3Bs%20scope%2C%20which%20focused%20on%20the%20habitability%20and%20livability%20terminology%20and%20did%20not%20include%20records%20without%20full-text%20access.%20These%20findings%20support%20the%20development%20of%20dual-structure%20tools%20integrating%20a%20universal%20environmental%20and%20functional%20core%20with%20context-adaptive%20components%2C%20informing%20future%20housing%20policies%2C%20anticipatory%20building%20standards%2C%20and%20strategies%20to%20mitigate%20emerging%20environmental%20and%20socio-climatic%20risks.%22%2C%22date%22%3A%222026-09-01%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.indenv.2026.100189%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS295036202600041X%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%222950-3620%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-08-18T10%3A33%3A16Z%22%7D%7D%2C%7B%22key%22%3A%22MTEICTPQ%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Martinez-Soto%20et%20al.%22%2C%22parsedDate%22%3A%222026-08-27%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMartinez-Soto%2C%20A.%2C%20Castro-Coliqueo%2C%20K.%2C%20Sanhueza-Catal%26%23xE1%3Bn%2C%20D.%2C%20Sald%26%23xED%3Bas-Lagos%2C%20Y.%2C%20Foshag%2C%20K.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20Climate-sensitive%20urban%20energy%20poverty%20indicator%20framework.%20%26lt%3Bi%26gt%3BCommunications%20Sustainability%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B1%26lt%3B%5C%2Fi%26gt%3B%281%29%2C%20139.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs44458-026-00142-7%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs44458-026-00142-7%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Climate-sensitive%20urban%20energy%20poverty%20indicator%20framework%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aner%22%2C%22lastName%22%3A%22Martinez-Soto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katherine%22%2C%22lastName%22%3A%22Castro-Coliqueo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Sanhueza-Catal%5Cu00e1n%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yarela%22%2C%22lastName%22%3A%22Sald%5Cu00edas-Lagos%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kathrin%22%2C%22lastName%22%3A%22Foshag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22Climate%20change%20and%20rapid%20urbanization%20are%20intensifying%20urban%20heat%2C%20yet%20current%20energy%20poverty%20assessments%20often%20overlook%20how%20intra-urban%20microclimates%20shape%20residential%20energy%20needs.%20Although%20Local%20Climate%20Zones%2C%20multidimensional%20vulnerability%20indicators%2C%20indoor%20environmental%20monitoring%2C%20and%20building%20energy%20simulation%20are%20well%20established%2C%20they%20have%20rarely%20been%20integrated%20to%20assess%20household%20energy%20poverty.%20Here%2C%20we%20present%20the%20Climate-Sensitive%20Urban%20Energy%20Poverty%20Indicator%20Framework%2C%20which%20integrates%20these%20components%20to%20assess%20household%20energy%20poverty%20under%20climate-sensitive%20urban%20conditions%20using%20household%20surveys%2C%20indoor%20environmental%20monitoring%2C%20and%20urban%20climate%20modeling%20in%20Temuco%2C%20Chile.%20We%20show%20that%20urban%20form%20influences%20energy%20demand%20and%20thermal%20discomfort.%20Compact%20low-rise%20neighborhoods%20experienced%20higher%20thermal-discomfort%20exposure%20%28mean%200.32%20versus%200.07%29%2C%20greater%20equipment%20and%20insulation%20deficits%20%280.61%20versus%200.28%29%2C%20and%20lower%20access%20to%20cooling%20equipment%20%2811%25%20versus%2032%25%29%20than%20open%20low-rise%20neighborhoods.%20These%20findings%20reveal%20vulnerability%20patterns%20overlooked%20by%20conventional%20metrics%20and%20support%20climate-resilient%20urban%20planning%20and%20evidence-based%20energy%20policy.%22%2C%22date%22%3A%222026-08-27%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1038%5C%2Fs44458-026-00142-7%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1038%5C%2Fs44458-026-00142-7%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%223059-4308%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%5D%2C%22dateModified%22%3A%222026-08-31T13%3A02%3A07Z%22%7D%7D%2C%7B%22key%22%3A%22K4QWHKZ2%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Adamiak%20et%20al.%22%2C%22parsedDate%22%3A%222026-08-22%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BAdamiak%2C%20M.%2C%20Fendrich%2C%20S.%2C%20Psotta%2C%20J.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20%26lt%3Bi%26gt%3BVehicle%20speed%20dataset%20for%20the%20major%20European%20road%20network%20derived%20from%20Sentinel-2%20imagery%2C%202022%26%23x2013%3B2026%26lt%3B%5C%2Fi%26gt%3B.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-ItemURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Farxiv.org%5C%2Fhtml%5C%2F2608.22116v1%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Farxiv.org%5C%2Fhtml%5C%2F2608.22116v1%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22preprint%22%2C%22title%22%3A%22Vehicle%20speed%20dataset%20for%20the%20major%20European%20road%20network%20derived%20from%20Sentinel-2%20imagery%2C%202022%5Cu20132026%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Maciej%22%2C%22lastName%22%3A%22Adamiak%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sascha%22%2C%22lastName%22%3A%22Fendrich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julian%22%2C%22lastName%22%3A%22Psotta%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22genre%22%3A%22%22%2C%22repository%22%3A%22%22%2C%22archiveID%22%3A%22%22%2C%22date%22%3A%222026-08-22%22%2C%22DOI%22%3A%22%22%2C%22citationKey%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Farxiv.org%5C%2Fhtml%5C%2F2608.22116v1%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-09-02T08%3A33%3A07Z%22%7D%7D%2C%7B%22key%22%3A%22DN6TPQ5A%22%2C%22library%22%3A%7B%22id%22%3A5612809%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A5396816%2C%22username%22%3A%22chludwig%22%2C%22name%22%3A%22%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Fchludwig%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Martinez-Soto%20et%20al.%22%2C%22parsedDate%22%3A%222026-08-15%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%26lt%3Bdiv%20class%3D%26quot%3Bcsl-bib-body%26quot%3B%20style%3D%26quot%3Bline-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%26quot%3B%26gt%3B%5Cn%20%20%26lt%3Bdiv%20class%3D%26quot%3Bcsl-entry%26quot%3B%26gt%3BMartinez-Soto%2C%20A.%2C%20Castro-Coliqueo%2C%20K.%2C%20Sanhueza-Catal%26%23xE1%3Bn%2C%20D.%2C%20Reyes-Riveros%2C%20A.%2C%20%26amp%3B%20Zipf%2C%20A.%20%282026%29.%20Hidden%20energy%20poverty%20and%20the%20energy%20performance%20gap%3A%20integrating%20building%20energy%20simulation%2C%20thermal%20comfort%20monitoring%2C%20and%20actual%20energy%20consumption.%20%26lt%3Bi%26gt%3BEnergy%20and%20Buildings%26lt%3B%5C%2Fi%26gt%3B%2C%20%26lt%3Bi%26gt%3B365%26lt%3B%5C%2Fi%26gt%3B%2C%20117669.%20%26lt%3Ba%20class%3D%26%23039%3Bzp-DOIURL%26%23039%3B%20href%3D%26%23039%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.enbuild.2026.117669%26%23039%3B%26gt%3Bhttps%3A%5C%2F%5C%2Fdoi.org%5C%2F10.1016%5C%2Fj.enbuild.2026.117669%26lt%3B%5C%2Fa%26gt%3B%26lt%3B%5C%2Fdiv%26gt%3B%5Cn%26lt%3B%5C%2Fdiv%26gt%3B%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Hidden%20energy%20poverty%20and%20the%20energy%20performance%20gap%3A%20integrating%20building%20energy%20simulation%2C%20thermal%20comfort%20monitoring%2C%20and%20actual%20energy%20consumption%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aner%22%2C%22lastName%22%3A%22Martinez-Soto%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Katherine%22%2C%22lastName%22%3A%22Castro-Coliqueo%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Sanhueza-Catal%5Cu00e1n%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alejandro%22%2C%22lastName%22%3A%22Reyes-Riveros%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexander%22%2C%22lastName%22%3A%22Zipf%22%7D%5D%2C%22abstractNote%22%3A%22Traditional%20energy%20poverty%20indicators%20based%20on%20observed%20expenditure%20or%20consumption%20tend%20to%20underestimate%20households%20that%20restrict%20their%20energy%20use%20due%20to%20economic%20constraints.%20This%20study%20evaluates%2053%20urban%20dwellings%20in%20Temuco%20%28Chile%29%20and%20integrates%20the%20Energy%20Performance%20Gap%20%28EPG%29%2C%20defined%20as%20the%20difference%20between%20theoretical%20energy%20demand%20and%20actual%20consumption%2C%20together%20with%20the%20%25EDA%20indicator%2C%20which%20quantifies%20the%20annual%20share%20of%20hours%20associated%20with%20indoor%20energy%20demand%20activation%20conditions.%20Results%20show%20that%2053%25%20of%20the%20dwellings%20exhibit%20positive%20EPG%20values%20%28ranging%20from%20%2B2%25%20to%20%2B66%25%29%2C%20suggesting%20potential%20underconsumption%20associated%20with%20thermal%20deprivation.%20In%20environmental%20terms%2C%2045%25%20of%20households%20present%20%25EDA%20values%20above%20the%20sample%20mean%20%2834%25%29%2C%20while%2011%25%20exceed%2060%25%20of%20the%20year%20outside%20operational%20indoor%20ranges.%20A%20weak%20concordance%20is%20observed%20between%20conventional%20indices%20%28TPR%2C%20MEPI%2C%20and%20hEP%29%20and%20the%20physical%20metrics%20of%20building%20performance%20and%20habitability%2C%20reflected%20in%20low%20Spearman%20correlations%20%28%5Cu03c1%20between%20%5Cu22120.10%20and%200.16%29.%20After%20incorporating%20EPG%20and%20%25EDA%2C%20the%20adapted%20indices%20show%20a%20substantial%20improvement%20in%20their%20association%20with%20physical%20variables%20%28up%20to%20%5Cu03c1%5Cu00a0%3D%5Cu00a00.51%20with%20%25EDA%29.%20These%20findings%20reveal%20the%20presence%20of%20hidden%20energy%20poverty%20not%20captured%20by%20expenditure-based%20approaches%20and%20underscore%20the%20need%20to%20integrate%20economic%20and%20physical%20metrics%20to%20improve%20diagnostic%20accuracy%20at%20the%20dwelling%20level.%22%2C%22date%22%3A%222026-08-15%22%2C%22section%22%3A%22%22%2C%22partNumber%22%3A%22%22%2C%22partTitle%22%3A%22%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.enbuild.2026.117669%22%2C%22citationKey%22%3A%22martinez-soto2026a%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS0378778826007292%22%2C%22PMID%22%3A%22%22%2C%22PMCID%22%3A%22%22%2C%22ISSN%22%3A%220378-7788%22%2C%22language%22%3A%22%22%2C%22collections%22%3A%5B%223HCGPE8J%22%5D%2C%22dateModified%22%3A%222026-06-02T08%3A56%3A35Z%22%7D%7D%5D%7D
Randhawa, S., Randhawa, G., Langer, C., Andorful, F., Herfort, B., Kwakye, D., Olchik, O., Lautenbach, S., & Zipf, A. (2026). The changing surface of the world’s roads. Nature Communications, 17(1), 9345. https://doi.org/10.1038/s41467-026-76234-8
Reyes-Riveros, A., Martínez-Soto, A., Lautenbach, S., & Zipf, A. (2026). Indoor dwelling habitability: conceptual evolution, methods, and key variables from a systematic review. Indoor Environments, 3(3), 100189. https://doi.org/10.1016/j.indenv.2026.100189
Martinez-Soto, A., Castro-Coliqueo, K., Sanhueza-Catalán, D., Saldías-Lagos, Y., Foshag, K., & Zipf, A. (2026). Climate-sensitive urban energy poverty indicator framework. Communications Sustainability, 1(1), 139. https://doi.org/10.1038/s44458-026-00142-7
Adamiak, M., Fendrich, S., Psotta, J., & Zipf, A. (2026). Vehicle speed dataset for the major European road network derived from Sentinel-2 imagery, 2022–2026. https://arxiv.org/html/2608.22116v1
Martinez-Soto, A., Castro-Coliqueo, K., Sanhueza-Catalán, D., Reyes-Riveros, A., & Zipf, A. (2026). Hidden energy poverty and the energy performance gap: integrating building energy simulation, thermal comfort monitoring, and actual energy consumption. Energy and Buildings, 365, 117669. https://doi.org/10.1016/j.enbuild.2026.117669

Alle weiteren Beiträge ansehen
View from a vehicle driving on a dirt road in a rural area with houses and people visible alongside the road

Collecting Street-Level Imagery in Mozambique to Advance Sustainable Development and Humanitarian Logistics

HeiGIT and Data4MOZ have launched a collaboration to collect street-level…
Read more
Map with a red route line and a photo of a disaster area with collapsed buildings and rubble

Dynamic routing for disaster response in Venezuela

Following the catastrophic earthquakes in Venezuela on June 24, 2026,…

Read more
Outdoor event with people walking near white tents and a laptop showing a computer vision interface on a table indoors with people in the background

A Computer Vision Workshop with Tomorrow’s Mappers

At Explore Science 2026, young students experimented with computer vision…
Read more
Group of people outdoors looking at a map and a hexagonal inset showing a digital map with highlighted zones

Sketch Map Tool use-case in the EVCA context 

The Colombian Red Cross’s Disaster Risk Management (DRM) team works…

Read more
Text panel with the title 'Filling In The World Map With Street-Level Imagery and Deep Learning MapSwipe and Hug-a-Panorama' alongside two inset images showing a street scene with highlighted areas and a heatmap over a landscape.

Filling In The World Map With Street-Level Imagery and Deep Learning: MapSwipe and Hug-a-Panorama

HeiGIT has been working with deep learning models and street-level…

Read more