BOE was the leading manufacturer of large-area TFT LCD display units worldwide in 2020, accounting for approximately 27.7 percent of global unit shipments. LG Display and Innolux Corp. rounded out the top three manufacturing companies that year, with a shipment share of 14.1 and 13.7 percent, respectively.

TFT LCD display technology Thin-film transistor (TFT) displays are flat-panel LCD displays in which each pixel on the screen is individually controlled by one or multiple transistors. These transistors act as individual electronic switches that allow pixels to change state more quickly, resulting in faster response rates, clear resolution, and easily controlled vibrant colors. Global shipments of TFT LCD displays have increased in recent years, reaching an all-time high of over 771 million units in 2019. However, recent data projects a growing oversupply in the years to come, as consumer demand for large TFT LCD TV and monitor devices is not expected to meet production capacity.

BOE is heralding the new age of TFT technology BOE Technology has shipped the largest quantities of large-area TFT LCD displays worldwide since 2018. The Chinese company provides interface devices, smart IoT systems and smart medicine technologies, but it is its work in the display industry that has helped the panel maker build a global reputation. With the commissioning of the world’s first gen 10.5 TFT LCD production line in 2018, BOE accelerated the mass production of large TFT LCD panels and surpassed its biggest competitor LG Display for the first time.

This parcels polygons feature class represents current city parcels within the City of Los Angeles. It shares topology with the Landbase parcel lines feature class. The Mapping and Land Records Division of the Bureau of Engineering, Department of Public Works provides the most current geographic information of the public right of way, ownership and land record information. The legal boundaries are determined on the ground by license surveyors in the State of California, and by recorded documents from the Los Angeles County Recorder's office and the City Clerk's office of the City of Los Angeles. Parcel and ownership information are available on NavigateLA, a website hosted by the Bureau of Engineering, Department of Public Works.Associated information about the landbase parcels is entered into attributes. Principal attributes include:PIN and PIND: represents the unique auto-generated parcel identifier and key to related features and tables. This field is related to the LA_LEGAL, LA_APN and LA_HSE_NBR tables. PIN contains spaces and PIND replaces those spaces with a dash (-).LA_LEGAL - Table attributes containing legal description. Principal attributes include the following:TRACT: The subdivision tract number as recorded by the County of Los AngelesMAP_REF: Identifies the subdivision map book reference as recorded by the County of Los Angeles.LOT: The subdivision lot number as recorded by the County of Los Angeles.ENG_DIST: The four engineering Districts (W=Westla, C=Central, V= Valley and H=Harbor).CNCL_DIST: Council Districts 1-15 of the City of Los Angeles. OUTLA means parcel is outside the City.LA_APN- Table attributes containing County of Los Angeles Assessors information. Principal attributes include the following:BPP: The Book, Page and Parcel from the Los Angeles County Assessors office. SITUS*: Address for the property.LA_HSE_NBR - Table attributes containing housenumber information. Principal attributes include the following:HSE_ID: Unique id of each housenumber record.HSE_NBR: housenumber numerical valueSTR_*: Official housenumber addressFor a complete list of attribute values, please refer to Landbase_parcel_polygons_data_dictionary.Landbase parcels polygons data layer was created in geographical information systems (GIS) software to display the location of the right of way. The parcels polygons layer delineates the right of way from Landbase parcels lots. The parcels polygons layer is a feature class in the LACityLandbaseData.gdb Geodatabase dataset. The layer consists of spatial data as a polygon feature class and attribute data for the features. The area inside a polygon feature is a parcel lot. The area outside of the parcel polygon feature is the right of way. Several polygon features are adjacent, sharing one line between two polygons. For each parcel, there is a unique identifier in the PIND and PIN fields. The only difference is PIND has a dash and PIN does not. The types of edits include new subdivisions and lot cuts. Associated legal information about the landbase parcels lots is entered into attributes. The landbase parcels layer is vital to other City of LA Departments, by supporting property and land record operations and identifying legal information for City of Los Angeles. The landbase parcels polygons are inherited from a database originally created by the City's Survey and Mapping Division. Parcel information should only be added to the Landbase Parcels layer if documentation exists, such as a Deed or a Plan approved by the City Council. When seeking the definitive description of real property, consult the recorded Deed or Plan.List of Fields:ID: A unique numeric identifier of the polygon. The ID value is the last part of the PIN field value.ASSETID: User-defined feature autonumber.MAPSHEET: The alpha-numeric mapsheet number, which refers to a valid B-map or A-map number on the Cadastral grid index map. Values: • B, A, -5A - Any of these alpha-numeric combinations are used, whereas the underlined spaces are the numbers. An A-map is the smallest grid in the index map and is used when there is a large amount of spatial information in the map display. There are more parcel lines and annotation than can fit in the B-map, and thus, an A-map is used. There are 4 A-maps in a B-map. In areas where parcel lines and annotation can fit comfortably in an index map, a B-map is used. The B-maps are at a scale of 100 feet, and A-maps are at a scale of 50 feet.OBJECTID: Internal feature number.BPPMAP_REFTRACTBLOCKMODLOTARBCNCL_DIST: LA City Council District. Values: • (numbers 1-15) - Current City Council Member for that District can be found on the mapping website http://navigatela.lacity.org/navigatela, click Council Districts layer name, under Boundaries layer group.SHAPE: Feature geometry.BOOKPAGEPARCELPIND: The value is a combination of MAPSHEET and ID fields, creating a unique value for each parcel. The D in the field name PIND, means "dash", and there is a dash between the MAPSHEET and ID field values. This is a key attribute of the LANDBASE data layer. This field is related to the APN and HSE_NBR tables.ENG_DIST: LA City Engineering District. The boundaries are displayed in the Engineering Districts index map. Values: • H - Harbor Engineering District. • C - Central Engineering District. • V - Valley Engineering District. • W - West LA Engineering District.PIN: The value is a combination of MAPSHEET and ID fields, creating a unique value for each parcel. There are spaces between the MAPSHEET and ID field values. This is a key attribute of the LANDBASE data layer. This field is related to the APN and HSE_NBR tables.

In the third quarter 2023, there were 2,488 digital large format roadside frames in the United Kingdom (UK). Five years earlier, there were 728 of such frames in the UK.

Alonso_and_Marder_visualization_code_and_numerical_dataThere are 4 folders in the zip file. Each folder has an independent set of scripts that are useful to (a) reproduce the exact figures in the manuscript (b) wrap in other projects. See README file for specifics.

This MSOA atlas provides a summary of demographic and related data for each Middle Super Output Area in Greater London. The average population of an MSOA in London in 2010 was 8,346, compared with 1,722 for an LSOA and 13,078 for a ward.

The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, births, deaths, health, housing, crime, commercial property/floorspace, income, poverty, benefits, land use, environment, deprivation, schools, and employment.

If you need to find an MSOA and you know the postcode of the area, the ONS NESS search page has a tool for this.

The MSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5).

CURRENT MSOA BOUNDARIES (2011)

Excel

Instant Atlas

PREVIOUS MSOA BOUNDARIES (2001)

Excel

Instant Atlas

NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard.

Tips:

1. - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.

2. - To view data just for one borough*, use the filter tool.

3. - The legend settings can be altered by clicking on the pencil icon next to the MSOA tick box within the map legend.

4. - The areas can be ranked in order by clicking at the top of the indicator column of the data table.

Themes included here are Census 2011 Population, Mid-year Estimates, Population by Broad Age, Households, Household composition, Ethnic Group, Country of Birth, Language, Religion, Tenure, Dwelling type, Land Area, Population Density, Births, General Fertility Rate, Deaths, Standardised Mortality Ratio (SMR), Population Turnover Rates (per 1000), Crime (numbers), Crime (rates), House Prices, Commercial property (number), Rateable Value (£ per m2), Floorspace; ('000s m2), Household Income, Household Poverty, County Court Judgements (2005), Qualifications, Economic Activity, Employees, Employment, Claimant Count, Pupil Absence, Early Years Foundation Stage, Key Stage 1, GCSE and Equivalent, Health, Air Emissions, Car or Van availability, Income Deprivation, Central Heating, Incidence of Cancer, Life Expectancy, and Road Casualties.

• The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

These profiles were created using the most up to date information available at the time of collection (Spring 2014).

You may also be interested in LSOA Atlas and Ward Atlas.

According to Cognitive Market Research, The Global Jewelry Display Stands market size will expand at a CAGR of 4.0% from 2023 to 2030.

The demand for Jewelry Display Stands is rising due to the growing demand for music education.
Demand for Jewelry Set Display Rack remains higher in the Jewelry Display Stands market.
The Necklace category held the highest Jewelry Display Stands market revenue share in 2023.
North American Jewelry Set Display Rack will continue to lead, whereas the Asia Pacific Jewelry Display Stands market will experience the most substantial growth until 2030.

Increasing Jewelry Retailers to Provide Viable Market Output

The growth in the number of jewelry retailers is a significant driver for the Jewelry Display Stands market. With an increasing number of jewelry stores globally, there is a heightened demand for effective display solutions to showcase diverse and intricate jewelry collections. Jewelry retailers recognize the importance of visually appealing displays in attracting customers and enhancing the overall shopping experience. This drives the adoption of innovative, customizable, and aesthetically pleasing display stands that not only highlight the uniqueness of each piece but also contribute to creating an enticing retail environment, thus propelling the growth of the Jewelry Display Stands market.

In August 2022, Pandora introduced a new jewelry line named 'Pandora Brilliance' in the United States and Canada. This collection showcases diamonds that are created using 100 percent renewable energy and are cultivated in the United States.

(Source:pandoragroup.com/investor/news-and-reports/press-releases/newsdetail?id=25296#:~:text=Pandora's%20lab%2Dcreated%20diamonds%20are,for%20jewellery%20and%20industrial%20use.)

Increasing Technology Integration to Propel Market Growth

The integration of technology is a key driver for the Jewelry Display Stands market. Technology integration, such as digital screens and interactive features in display stands, enhances the overall customer experience. These innovative displays not only captivate customers but also provide a dynamic platform for showcasing jewelry collections. Tech-savvy consumers are drawn to the interactive and visually engaging elements, creating a unique and memorable shopping experience. As a result, the demand for display stands with integrated technology is on the rise, driving the growth of the Jewelry Display Stands market in response to evolving consumer preferences and expectations.

As reported by the Gems and Jewellery Export Promotion Council, India's export of contemporary materials jewelry has experienced significant growth. In 2021, compared to 2020, there was a remarkable increase in the export of various categories: polished lab-grown diamonds surged by 211%, platinum jewelry by 180%, silver jewelry by 61%, and studded gold jewelry by 60%.

(Source:gjepc.org/pdf/GJ-Trade-Trends-Annual-report-2021-22.pdf)

Market Dynamics of Jewelry Display Stands

Changing Consumer Preferences to Restrict Market Growth

Changing consumer preferences presents a challenge for the Jewelry Display Stands market as rapid shifts in styles and trends require constant adaptation. Display stands must align with evolving aesthetics and design preferences to effectively showcase jewelry collections. Staying ahead of dynamic consumer tastes demands continuous innovation and flexibility in display stand designs, making it challenging for manufacturers to predict and meet changing demands. Successfully navigating these shifts requires a deep understanding of market trends and the ability to provide customizable and visually appealing display solutions that resonate with the diverse and evolving preferences of jewelry consumers.

Impact of COVID–19 on the Jewelry Display Stands Market

The COVID-19 pandemic impacted the Jewelry Display Stands market as lockdowns and restrictions disrupted retail operations, leading to a temporary decline in demand. With physical stores closed, there was a shift towards online sales, impacting the type and design of display stands needed. Moreover, delays in the supply chain and manufacturing posed challenges. As the industry adapted to pandemic-induced changes the recovery was gradual, driven by the reopening of retail spaces and a renewed focus on visually appealing displays to attract customers. The long-term impact emphasized the ...

The LSOA atlas provides a summary of demographic and related data for each Lower Super Output Area in Greater London. The average population of an LSOA in London in 2010 was 1,722 compared with 8,346 for an MSOA and 13,078 for a ward.

The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, diversity, households, health, housing, crime, benefits, land use, deprivation, schools, and employment.

Due to significant population change in some areas, not all 2011 LSOA boundaries are the same as previous LSOA boundaries that had been used from 2001. A lot of data is still only available using the 2001 boundaries therefore two Atlases have been created - one using the current LSOA boundaries (2011) and one using the previous boundaries (2001).

If you need to find an LSOA and you know the postcode of the area, the ONS NESS search page has a tool for this.

The LSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5).

CURRENT LSOA BOUNDARIES (2011)

NOTE: There is comparatively less data for the new boundaries compared with the old boundaries

Excel

Instant Atlas

PREVIOUS LSOA BOUNDARIES (2001)

Excel

Instant Atlas

For 2011 Census data used in the 2001 Boundaries Atlas: For simplicity, where two or more areas have been merged, the figures for these areas have been divided by the number of LSOAs that used to make that area up. Therefore, these data are not official ONS statisitcs, but presented here as indicative to display trends.

NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard.

IMPORTANT: Due to the large amount of data and areas, the LSOA Atlas may take up to a minute to fully load. Once loaded, the report will work more efficiently by using the filter tool and selecting one borough at a time. Displaying every LSOA in London will slow down the data reload.

Tips:

1. - Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data.

2. - To view data just for one borough, use the filter tool.

3. - The legend settings can be altered by clicking on the pencil icon next to the LSOA tick box within the map legend.

4. - The areas can be ranked in order by clicking at the top of the indicator column of the data table.

Beware of large file size for 2001 Boundary Atlas (58MB) alternatively download Zip file (21MB).

Themes included in the atlases are Census 2011 population, Mid-year Estimates by age, Population Density, Households, Household Composition, Ethnic Group, Language, Religion, Country of Birth, Tenure, Number of dwellings, Vacant Dwellings, Dwellings by Council Tax Band, Crime (numbers), Crime (rates), Economic Activity, Qualifications, House Prices, Workplace employment numbers, Claimant Count, Employment and Support Allowance, Benefits claimants, State Pension, Pension Credit, Incapacity Benefit/ SDA, Disability Living Allowance, Income Support, Financial vulnerability, Health and Disability, Land use, Air Emissions, Energy consumption, Car or Van access, Accessibility by Public Transport/walk, Road Casualties, Child Benefit, Child Poverty, Lone Parent Families, Out-of-Work families, Fuel Poverty, Free School Meals, Pupil Absence, Early Years Foundation Stage, Key Stage 1, Key Stage 2, GCSE, Level 3 (e.g A/AS level), The Indices of Deprivation 2010, Economic Deprivation Index, and The IMD 2010 Underlying Indicators.

The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

These profiles were created using the most up to date information available at the time of collection (Spring 2014).

You may also be interested in MSOA Atlas and Ward Atlas.

The CAN Bus Displays market is experiencing robust growth, driven by the increasing adoption of advanced driver-assistance systems (ADAS) in the automotive sector and the expanding industrial automation landscape. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $4.2 billion by 2033. This growth is fueled by several key factors. The automotive industry's shift towards electric vehicles (EVs) and autonomous driving necessitates sophisticated displays capable of handling vast amounts of data, making CAN bus displays essential. Similarly, the industrial sector's increasing reliance on automation and the Internet of Things (IoT) is driving demand for reliable and efficient display solutions for real-time monitoring and control. Technological advancements, such as the transition from LCD to LED and OLED technologies, are further enhancing display capabilities and driving market expansion. The diverse applications across automotive, industrial equipment, marine, and agricultural sectors contribute to the market's breadth and resilience. Segment-wise, the automotive segment currently holds the largest market share, followed by industrial equipment. However, the agricultural and marine sectors are poised for significant growth driven by increasing automation and precision farming practices. Geographical analysis reveals strong market presence in North America and Europe, but Asia-Pacific is anticipated to witness substantial growth in the coming years due to rising industrialization and automotive production in countries like China and India. Competitive dynamics are shaped by a mix of established players and emerging companies, leading to innovation and price competition. Market restraints include the high initial investment costs for implementing CAN bus displays, particularly in smaller businesses, and potential supply chain disruptions. Despite challenges, the long-term outlook for the CAN Bus Displays market remains optimistic. The continued integration of CAN bus technology across various sectors, coupled with the ongoing development of advanced display technologies, will drive market expansion throughout the forecast period. The focus on enhancing safety and efficiency in vehicles and industrial equipment will propel demand for high-performance and reliable CAN bus displays. Companies are likely to respond by focusing on cost optimization, developing innovative solutions to address specific sector needs and expanding their geographical reach to capitalize on emerging markets. This ongoing innovation and adaptation to market needs positions the CAN bus displays market for continued growth and evolution in the coming years.

Ecological Land Units (ELUs) are areas of distinct bioclimate, landform, lithology, and land cover that form the basic components of terrestrial ecosystem structure. The ELU layer was produced by combining the values in four 250-m cell-sized rasters using the ArcGIS Combine tool (Spatial Analyst). In 2015 these four components resulted in 3,639 different combinations or ELUs, which is 284 fewer than 2014 which used older land cover and a different landform methodology.Note: This layer is designed for use as a geoprocessing input layer and to support pop-ups in ArcGIS Online. Because of the large number of unique values in the image service, the legend cannot be used in a meaningful way. Use the World Ecological Land Units Map 2015 tiled map layer for mapping and visualization. These four component datasets represent the most accurate, current, globally comprehensive, and finest spatial and thematic resolution data available for each of the four inputs. Values for each of the four input layers are listed in the table below. BioclimateLandformsLithologyLand CoverArcticPlainsUndefinedBare AreaCold DryHillsUnconsolidated SedimentSparse VegetationCold Semi-DryMountainsCarbonate Sedimentary RockGrassland, Shrub, or ScrubCold Moist Mixed Sedimentary RockMostly CroplandCold Wet Non-Carbonate Sedimentary RockMostly Needleleaf/Evergreen ForestCool Dry EvaporiteMostly Deciduous ForestCool Semi-Dry PyroclasticsSwampy or Often FloodedCool Moist Metamorphic RockArtificial or Urban AreaCool Wet Acidic VolcanicsSurface WaterHot Dry Acidic PlutonicsUndefinedHot Semi-Dry Non-Acidic Volcanics Hot Moist Non-Acidic Plutonics Hot Wet Warm Dry Warm Semi-Dry Warm Moist Warm Wet Dataset SummaryThis layer is suitable for analysis and can be used in ArcGIS Online to support pop-ups. It can be used in ArcGIS Desktop. Because of the large number of unique values in the image service it cannot be symbolized and displays as an all black layer. To use in pop-ups set the transparency to 100% and configure the pop-up. The pop-up from this layer can be combined with the World Ecological Land Units Map.Layers providing access to the four input layers used to create this map see the following links:World BioclimatesWorld Landforms Improved Hammond MethodWorld LithologyWorld Land Cover ESA 2010The ecophysiographic facets layer is available here and a layer summarizing the local diversity of the ecophysiographic facets is available here. A service is available to the data tables associated with this and other global layers. These data table services can be used by developers to create custom applications. For more information see the World Ecophysiographic Tables.The layer was created by the USGS and Esri in 2015.For more information see the publication:Sayre and others. 2014. A New Map of Global Ecological Land Units — An Ecophysiographic Stratification Approach. Washington, DC: Association of American Geographers. 46 pages. What can you do with this layer?This layer is suitable for analysis and can be used in ArcGIS Online to support pop-ups. It can be used in ArcGIS Desktop. Because of the large number of unique values in the image service it can not be symbolized and displays as an all white layer. To use in pop-ups set the transparency to 100% and configure the pop-up.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.