EMAPA Enrichment results based on differentially expressed gene lists for the Discard set.see README.md for more details.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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EMAPA Enrichment results based on differentially expressed gene lists for the No Delay set.see README.md for more details.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
EMAPA Enrichment results based on differentially expressed gene lists for the Mutant Response set.see README.md for more details.
Este mapa da web apresenta um mapa base vetorial de dados OpenStreetMap (OSM) hospedados pela Esri. A Esri criou este mapa base de mosaico vetorial a partir de Distribuição do mapa da luz do dia dados OSM, que são suportados pelo Facebook e complementados com dados adicionais da Microsoft. Esta versão do mapa é renderizada usando a cartografia OSM. O mapa do OSM Daylight será atualizado todos os meses com a versão mais recente dos dados do OSM Daylight.OpenStreetMap (OSM) é um projeto colaborativo livre para criar um mapa gratuito editável do mundo. Os voluntários reúnem dados de localização usando GPS, conhecimento local e outras fontes gratuitas de informações e carregam. O mapa gratuito resultante pode ser visualizado e baixado do site OpenStreetMap:www.OpenStreetMap.org. A Esri é uma apoiadora do projeto OSM e está empolgada em disponibilizar este mapa base de vetor aprimorado para as comunidades de usuários e desenvolvedores do ArcGIS.
EMAPA Enrichment results based on differentially expressed gene lists for the Delay set.see README.md for more details.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Mostra os diferentes níveis de ruído na cidade de Lisboa: Mapa de Ruído Global, Dia, Entardecer e Noite (Lden) e Mapa de Ruído Global Noite (Ln), para o ano de 2020.
https://data.gov.tw/licensehttps://data.gov.tw/license
Taiwan e-Map (Taiwan e-Map) is to provide the necessary basic map data for various national policy initiatives. It is built by the National Land Surveying and Mapping Center of the Ministry of the Interior using aerial photogrammetry in accordance with the Taiwan e-Map surveying and mapping specifications (the current contour lines only display elevations above 200 meters). This is an "open data network map service" that is smaller than the 1:18,000 scale tile (i.e. the 15th level of the tile scale). If you need a file, please refer to the "Taiwan e-Map tile packaging file" or the "Taiwan e-Map MBTiles file (for offline map use with the APP)" dataset. WMTS EPSG: 3857 WMS EPSG: 4326, 3826, 3857 The layer name is EMAP5_OPENDATA.
https://data.gov.tw/licensehttps://data.gov.tw/license
The Taiwan e-Map is developed by the Ministry of the Interior's Land Surveying and Mapping Center to provide reference for the basic map data needed for various national policy promotions, using aerial photogrammetric methods in accordance with the Taiwan e-Map surveying and mapping specifications. It is produced as map tile files (currently, contour lines are only displayed above 200 meters in elevation). If you need to access the service, please refer to the "Taiwan e-Map (overlay contour lines, scale less than one eight-thousandth)" or "Taiwan e-Map (excluding contour lines, scale less than one eight-thousandth)" data sets.
Xeneralización do mapa de usos e coberturas a escala 1/25.000 para a súa utilización a escala 1/250.000.
Este mapa topográfico foi projetado para ser utilizado como um mapa base e como um mapa de referência. O mapa foi compilado pela Esri e comunidade de usuários do ArcGIS a partir de uma variedade de melhores fontes disponíveis. O mapa é planejado para suportar a galeria de mapa base do ArcGIS Online. Para mais detalhes sobre o mapa, visite o Relevo Sombreado Mundial e Mapa Topográfico Mundial.
Adressenummerering er et velordnet system til tildeling af identifikatorer til steder omkring os, hvis formål er at sikre, at de kan skelnes og identificeres. Af natur henviser adressenummerering til bebyggede områder (menneskelige menigheder), fordi vi i andre tilfælde er afhængige af identifikationsmetoder baseret på referenceobjekter som f.eks. matrikelparceller eller direkte på geografiske koordinater. Det meste af den adressenummerering, der anvendes i forskellige lande, er bygget ud fra navnet på byen, gadenavnet og det næste nummer på gaden. Stedet for præsentation af adressedata sammen med muligheden for at søge er den kommunale kortportal, der findes på http://poniec.e-mapa.net. I portalen kan du også finde mange andre geodata om vores enhed. Derudover er der en WMS-tjeneste (Web Map Service) til rådighed for adressedata, takket være hvilken kommunens adressedata kan vises på alle korttjenester.
I Polen foretages adressenummereringen på grundlag af artikel 47a og 47b i loven af 17. maj 1989. Geodætisk og kartografisk lov (Dz. U af 2016, nr. 1629) og bekendtgørelse fra ministeren for forvaltning og digitalisering af 9. januar 2012 om registret over byer, gader og adresser (lovtidende 2016, pkt. 1629) U. af 2012 punkt. 125).
Adrešu numerācija ir sakārtota identifikatoru piešķiršanas sistēma vietām ap mums, kuras mērķis ir nodrošināt, lai tos varētu atšķirt un identificēt. Pēc būtības adrešu numerācija attiecas uz apbūvētām teritorijām (cilvēku draudzēm), jo citos gadījumos mēs paļaujamies uz identifikācijas metodēm, kuru pamatā ir atsauces objekti, piemēram, kadastrālie zemes gabali, vai tieši uz ģeogrāfiskām koordinātām (,λ). Lielākā daļa adrešu numerācijas, ko izmanto dažādās valstīs, ir veidota no pilsētas nosaukuma, ielas nosaukuma un nākamā numura uz ielas. Adrešu datu uzrādīšanas vieta kopā ar meklēšanas iespēju ir pašvaldības karšu portāls, kas pieejams tīmekļa vietnē http://poniec.e-mapa.net. Portālā varat atrast arī daudzus citus telpiskos datus par mūsu vienību. Turklāt adrešu datiem ir pieejams WMS (Web Map Service) pakalpojums, pateicoties kuram pašvaldības adrešu datus var uzrādīt jebkurā kartes pakalpojumā.
Polijā adrešu numerāciju veic, pamatojoties uz 1989. gada 17. maija likuma 47.a un 47.b pantu. Ģeodēziskais un kartogrāfijas likums (Dz. U, poz. 1629) un administrācijas un digitalizācijas ministra 2012. gada 9. janvāra Noteikumi par pilsētu, ielu un adrešu reģistru (2016. gada Oficiālais Vēstnesis, 1629. punkts). 2012. gada U. punkts. 125).
Hydrogeological map of Spain 1/1.000.000 with unified legend.Enlace al navegador de información geocientífica del IGME (INFOIGME), el cual permite la visualización y consulta de la información de los elementos de cada capa.http://info.igme.es/visorweb/
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
La hoja 244 (ALFARO) del Mapa Geológico Nacional (MAGNA), realizado en el año 1977 y publicado en el año 2000 por el Instituto Geológico y Minero de España. Se distribuye a escala 50000. En el Mapa Geológico se representa la naturaleza de los materiales (rocas y sedimentos) que aparecen en la superficie terrestre, su distribución espacial y las relaciones geométricas entre las diferentes unidades cartográficas. Una unidad cartográfica geológica es la agrupación de una o varias litologías con un rango de edad común, que tiene representación en el mapa a una escala o resolución definidas. Cada unidad cartográfica, así como las diferentes estructuras geológicas, están representadas en el mapa con una simbología propia. La representación de estas unidades sobre la base topográfica del mapa, proporciona cierta información tridimensional que se completa con otros datos geológicos como cortes geológicos, perfiles estratigráficos, sondeos, etc. La leyenda del mapa es un pictograma que representa la relación espacial de las distintas unidades cartográficas (cronología, superposición, relación geométrica, cambios laterales de facies, etc.). También incluye esquemas estructurales, hidrogeológicos y de localización geológica de la hoja dentro de su ámbito regional. Desde el año 1991 La Serie del Mapa Geológico MAGNA se realiza de forma inseparable con el mapa geomorfológico a la misma escala. Este mapa tiene como base el mapa geológico del que incorpora todo aquello relativo a la geología de superficie y proporciona una información estructurada y precisa de las formas del terreno. Está organizado en función de la morfogénesis y de la morfocronología que se incorpora al mapa mediante la correspondiente columna cronoestratigráfica incluida en una tabla/leyenda inspirada en el mapa geológico. Las formas, erosivas y deposicionales están representadas en el mapa por elementos individualizados mediante símbolos y tramas de color y depósitos o formaciones superficiales que aportan información litológica. Para cada hoja de la serie MAGNA existe una memoria explicativa publicada, editada y en formato digital. La información vectorial se almacena en formato cobertura y Shape (ESRI) y existe una guía en la que se refleja su organización y codificación.
Numerotarea adreselor este un sistem ordonat de atribuire a identificatorilor în locurile din jurul nostru, al cărui scop este de a se asigura că aceștia pot fi distinși și identificați. Prin natura lor, numerotarea adreselor se referă la zonele construite (congregații umane), deoarece în alte cazuri ne bazăm pe metode de identificare bazate pe obiecte de referință, cum ar fi parcelele cadastrale sau direct pe coordonatele geografice. Cea mai mare parte a numerotării adreselor utilizate în diferite țări este construită din numele orașului, numele străzii și numărul următor de pe stradă. Locul de prezentare a datelor privind adresa împreună cu posibilitatea de căutare este portalul hărții municipale, disponibil la adresa http://damaslawek.e-mapa.net. În portal puteți găsi, de asemenea, multe alte date spațiale despre unitatea noastră. În plus, un serviciu WMS (Web Map Service) este disponibil pentru datele privind adresele, datorită căruia datele privind adresa municipalității pot fi prezentate pe orice servicii de hartă.
În Polonia, numerotarea adreselor se efectuează în temeiul articolelor 47a și 47b din Legea din 17 mai 1989. Legea geodezică și cartografică (Dz. U din 2016, punctul 1629) și Regulamentul ministrului administrației și digitalizării din 9 ianuarie 2012 privind registrul orașelor, străzilor și adreselor (Jurnalul de drept din 2016, punctul 1629) U. din punct de vedere al anului 2012. 125).
La numerazione degli indirizzi è un sistema ordinato di assegnare identificatori ai luoghi intorno a noi, il cui scopo è garantire che possano essere distinti e identificati. Per natura, la numerazione degli indirizzi si riferisce alle aree edificate (congregazioni umane), perché in altri casi ci basiamo su metodi di identificazione basati su oggetti di riferimento come le parcelle catastali o direttamente sulle coordinate geografiche (φ,λ). La maggior parte della numerazione degli indirizzi utilizzata in diversi paesi è costruita dal nome della città, dal nome della strada e dal numero successivo sulla strada. Il luogo di presentazione dei dati dell'indirizzo unitamente alla possibilità di ricerca è il portale cartografico comunale, disponibile all'indirizzo http://poniec.e-mapa.net. Nel portale è inoltre possibile trovare molti altri dati spaziali sulla nostra unità. Inoltre, è disponibile un servizio WMS (Web Map Service) per i dati di indirizzo, grazie al quale i dati di indirizzo del comune possono essere presentati su qualsiasi servizio cartografico.
In Polonia, la numerazione degli indirizzi è effettuata sulla base degli articoli 47 bis e 47 ter della legge del 17 maggio 1989. Diritto geodetico e cartografico (Dz. U del 2016, punto 1629) e regolamento del Ministro dell'amministrazione e della digitalizzazione del 9 gennaio 2012 relativo all'albo delle città, delle strade e degli indirizzi (Journal of Laws del 2016, punto 1629) U. del 2012 punto. 125).
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
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Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based on raster tiles is inferior to vector tiles in terms of interactive ability because vector maps provide a convenient and effective method to access and manipulate web map features. However, the critical issue regarding rendering tiled vector maps is that geographical features that are rendered in the form of map symbols via vector tiles may cause visual discontinuities, such as graphic conflicts and losses of data around the borders of tiles, which likely represent the main obstacles to exploring vector map tiles on the web. This paper proposes a tiled vector data model for geographical features in symbolized maps that considers the relationships among geographical features, symbol representations and map renderings. This model presents a method to tailor geographical features in terms of map symbols and ‘addition’ (join) operations on the following two levels: geographical features and map features. Thus, these maps can resolve the visual discontinuity problem based on the proposed model without weakening the interactivity of vector maps. The proposed model is validated by two map data sets, and the results demonstrate that the rendered (symbolized) web maps present smooth visual continuity.
Greater Sage-Grouse Management Areas (habitat) in the Proposed Plan of the Great Basin Region, Idaho-SW Montana Sub-region, Greater Sage-grouse Environmental Impact Statement (EIS) as Priority, Important, and General. Management Areas were delineated by BLM, U.S. Forest Service, State of Idaho and the U.S. Fish and Wildlife Service based on considerations of sage-grouse occupancy, landscape, habitat and land use/adaptive management opportunities. This data was developed as the Administrative Draft Proposed Plan (ADPP). for the Great Basin Region, Idaho-SW Montana Sub-region, Greater Sage-grouse (Centrocercus urophasianus) Environmental Impact Statement (EIS). This layer was edited 5/7/2015 at the WO direction to add three areas of non-habitat in the Sagebrush Focal Areas as PHMA. See processing steps. Priority Habitat Management Areas (PHMA) have the highest conservation value based on various sage-grouse population and habitat considerations and reflect the most restrictive management designed to promote sage-grouse conservation. Important Habitat Management Areas (IHMA) are closely aligned with PHMA, but management is somewhat less restrictive, providing additional management flexibility. The General Habitat Management Areas (GHMA) designation is the least restrictive due to generally lower occupancy of sage-grouse and more marginal habitat conditions. A decision was made in September 2014 by the Washington Office that all sub-regions would use a consistent naming convention for identifying Habitat Management Areas (HMA). These are Priority Habitat Management Area (PHMA) and General Habitat Management Area (GHMA). The Idaho and Southwestern Montana sub-region has an additional HMA identified as Important Habitat Management Area (IHMA). Attributes in this layer were updated 9/26/2014. Core updated to PHMA, Important updated to IHMA, and General updated to GHMA. The layer was renamed from ManagementZones_Alt_G_05272014_Final to ManagementAreas_Alt_G_05272014_final. The field identifying the Management Areas was renamed from Management_Zone to Habitat_Management_Area. ManagementAreas_Alt_G_05272014_final renamed to Habitat_ADPP on 01212015. Field edits started with the Alt E map from DEIS (State of Idaho’s Alternative) as a baseline and were completed in December 2013. In subsequent discussions, the State and FWS Idaho Fish and Wildlife Office, expressed concerns about adding more areas to Core designation especially if outside the FWS PACs which were delineated prior to release of the DEIS. The final map used for the Proposed Plan reflects Management Zones (M.Z.s) delineations following multiple discussions between, BLM, FS, FWS and the State. Some additional areas in south central Idaho, Mountain Home, and Weiser area were added as GHMA, which are not reflected in the Alt D or E map. These were typically annual grassland areas from the Key Habitat Map that had been previously excluded from the initial PPH/PGH model. These areas have restoration potential or involve past or ongoing restoration efforts. “Donut holes” of less than 500 acres located inside a larger matrix were classified the same as the surrounding matrix. Snapping of PHMA, IHMA, or GHMA to meaningful edges or features (canyons, allotment/pasture boundaries, roads etc.) was completed at the field level to facilitate use of the map designations at the field level. Specific changes can be viewed in MapEditsSummary_05232014_Final.docx, see metadata properties for the attachment
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
As of 2023, the global electronic map market size is valued at approximately USD 15 billion and is projected to reach USD 40 billion by 2032, growing at a compound annual growth rate (CAGR) of around 12%. This substantial growth is driven by advancements in geographic information systems (GIS), the increasing adoption of real-time mapping solutions, and the proliferation of smart devices requiring precise location data.
One of the significant growth factors for the electronic map market is the rapid adoption of smart devices and the integration of location-based services. Smartphones, tablets, and wearable devices increasingly rely on real-time mapping for navigation, social networking, and various applications. The growing consumer preference for location-based services enhances the demand for electronic maps globally. Furthermore, the development of autonomous and connected vehicles has necessitated highly accurate mapping systems, thereby fueling market growth.
Another key driver is the increasing investment in smart city initiatives. Governments and urban planners worldwide are leveraging electronic maps for urban planning, traffic management, and public safety purposes. These maps provide critical data for optimizing infrastructure development and managing urban growth efficiently. The integration of electronic maps in smart city projects is expected to significantly contribute to the market's expansion over the forecast period.
The rising importance of geospatial data in various industries also propels the market forward. Sectors such as defense, aerospace, and logistics rely heavily on precise mapping for operations, strategic planning, and tracking. The continuous advancements in GIS technologies and their applications across different sectors ensure a steady demand for electronic maps. Additionally, the advent of AI and machine learning in geospatial analytics further enhances the functionality and accuracy of electronic maps, driving their adoption in diverse industries.
Regionally, North America is expected to dominate the electronic map market due to the early adoption of advanced technologies and the presence of key market players. The region's strong technological infrastructure and high investment in R&D activities support market growth. Europe follows closely, driven by the increasing use of electronic maps in automotive and public sector applications. The Asia Pacific region is projected to witness the highest growth rate, attributed to the rapid urbanization, expanding automotive industry, and significant investments in smart city projects.
The hardware segment of the electronic map market encompasses various physical components required for mapping and navigation systems. This includes GPS devices, sensors, and other geospatial data collection tools. The demand for advanced hardware components is driven by the need for high-precision data in automotive navigation systems, smart city infrastructure, and defense applications. The continuous advancements in sensor technology and the integration of IoT devices have further bolstered the growth of the hardware segment.
In the automotive industry, the development of autonomous and connected vehicles has significantly increased the demand for sophisticated hardware components. These vehicles rely on precise mapping data for navigation and safety, requiring advanced GPS systems and sensors. The push towards electric and autonomous vehicles will continue to drive demand for high-quality hardware components in the mapping sector.
Moreover, the rise of smart cities has led to increased use of mapping hardware for urban planning, traffic management, and public safety. Governments and municipalities are investing in advanced hardware solutions to collect and analyze geospatial data, optimizing infrastructure development and urban growth. This trend is expected to continue, driving further growth in the hardware segment.
The defense and aerospace industries are also significant contributors to the hardware segment's growth. These sectors require precise and reliable mapping hardware for strategic planning, surveillance, and navigation. The continuous advancements in GIS technologies and their integration with AI and machine learning enhance the functionality and accuracy of mapping hardware, further driving their demand in defense and aerospace applications.
Overall,
EMAPA Enrichment results based on differentially expressed gene lists for the Discard set.see README.md for more details.