Graph and download economic data for Employed full time: Wage and salary workers: Surveyors, cartographers, and photogrammetrists occupations: 16 years and over: Women (LEU0254692000A) from 2000 to 2024 about cartographers, photogrammetrists, occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

These data refer to the paper “Cartography as a Research Method for Work and Subjectivity Studies”. This article presents cartography as a relevant method to studies related to work and subjectivity in the area of Administration and the files available refer to: Table 1 - Path as a flâneur-cartographer in Porto Alegre 2017-2019; Table 2 - Key informants; Table 3 - Introduction of migrant-participants and refugee-participants; Table 4 - Interviews and meetings with the migrant-participants and refugee-participants.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Surveyors, cartographers, and photogrammetrists occupations: 16 years and over: Men (LEU0254638600A) from 2000 to 2011 about cartographers, photogrammetrists, second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Important NOTE: This dataset will not continue to be updated by the municipal street in ED50 format. The last update corresponds to 27-November-2017. The data set Cartographic Information System — Social Work Unit, has current files in different coordinate systems and formats. Contents of the file: Description: Contains the delimitation and denomination of the social work units of the Municipal term of Malaga, as described in the Catalogue and Description Shape exchange files. Geometry: Area. File structure shape * * * * ID_UTS (NUMÉRICUM): Registration identifier. * * * NUMUTS (NUMBER): Number associated with the social work unit. * * * * NOMUTS (TEXT): Name associated with the social work unit. * * * full cartography in ED50 format, is available at Callejero ED50

The PERM Sponsorship Trends linear chart visualizes the number of PERM cases filed by Cartography Biosciences from 2020 to 2023, highlighting the company’s long-term sponsorship patterns. The horizontal bar chart titled Distribution of Job Fields Receiving PERM Sponsorship further categorizes sponsored roles by job type.

The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by Cartography Biosciences from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

Displays points for Cartographic reference. Examples include Reference Points, Job Numbers and Lateral Cleanouts.-- Additional Information: Category: Collection System Purpose: Used to identify information relevant to Collection System that's not an asset. Update Frequency: Weekly-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54325

Derek H. Alderman, Joshua F.J. Inwood, Ethan BottoneThe mapping behind the movement: On recovering the critical cartographies of the African American Freedom Struggle,Geoforum,Volume 120,2021,Pages 67-78,ISSN 0016-7185,https://doi.org/10.1016/j.geoforum.2021.01.022.(https://www.sciencedirect.com/science/article/pii/S0016718521000300)Abstract: Responding to recent work in critical cartographic studies and Black Geographies, the purpose of this paper is to offer a conceptual framework and a set of evocative cartographic engagements that can inform geography as it recovers the seldom discussed history of counter-mapping within the African American Freedom Struggle. Black resistant cartographies stretch what constitutes a map, the political work performed by maps, and the practices, spaces, and political-affective dimensions of mapping. We offer an extended illustration of the conventional and unconventional mapping behind USA anti-lynching campaigns of the late 19th and early 20th centuries, highlighting the knowledge production practices of the NAACP and the Tuskegee Institute’s Monroe Work, and the embodied counter-mapping of journalist/activist Ida B. Wells. Recognizing that civil rights struggles are long, always unfolding, and relationally tied over time and space, we link this look from the past to contemporary, ongoing resistant cartographical practices as scholars/activists continue to challenge racialized violence and advance transitional justice, including the noted memory-work of the Equal Justice Initiative. An understanding of African American traditions of counter-mapping is about more than simply inserting the Black experience into our dominant ideas about cartography or even resistant mapping. Black geographies has much to teach cartography and geographers about what people of color engaged in antiracist struggles define as geographic knowledge and mapping practices on their own terms—hopefully provoking a broader and more inclusive definition of the discipline itself.Keywords: African American; Anti-lynching; Black geographies; Civil rights; Counter-mapping; Critical cartography

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Surveyors, cartographers, and photogrammetrists occupations: 16 years and over (LEU0254531800A) from 2000 to 2011 about cartographers, photogrammetrists, second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Important NOTE: This dataset will not continue to be updated by the municipal street in ED50 format. The last update corresponds to 27-November-2017. The data set Cartographic Information System — Social Work Core, has current files in different coordinate systems and formats. Contents of the file: Description: Contains the delimitation and denomination of the social work centers of the Municipal term of Malaga, as described in the Catalogue and Description Shape exchange files. Geometry: Area. File structure shape * * * * ID_NTS (NUMÉRICUM): Registration identifier. * * * * NUMNTS (NUMBER): Number associated with the social work core. * * * * NOMNTS (TEXT): Name associated with the social work core. * * * * * *

It contains information about works that are carried out in the municipality of Valencia, including its method of creation, date and type of work carried out. Official vector cartographic series of reference at scale 1:500, 1:1000 and 1:2000 in 2D, elaborated by the Cartography Section of the Planning Service., which represents the topographical reality of the TM of Valencia. It is a combination of photogrammetric refunds from the August 2018 flight, 2006 flights and GNSS measurements. Geodetic Reference System ETRS89, UTM projection in spindle 30. Vertical datum: the altitudes refer to the average level of the Mediterranean Sea in Alicante. EPSG code:25830. Planimetric accuracy 10-50 centimeters. The continuous cartographic base is structured for exploitation using Geographic Information Systems. The geographical phenomena that make up the series are structured in these 6 thematic units: orography, hydrography, constructions and buildings, transport networks and toponymy. All of them contain the following fields: Creation: creation method (photogrammetric restoration, GNSS measurement, orthophoto digitisation), date of creation (flight date or date of data collection), scale (information generation scale).The data model of the BCV05 of the ICV was followed. The phenomena have been represented following the catalogue of phenomena of the CV05 series. In the case of elements not covered by the BCV05 model, it has been expanded by generating a data model for larger scales that can be requested at cartoinf@valencia.es. It contains information about works that are carried out in the municipality of Valencia, including its method of creation, date and type of work carried out. Official vector cartographic series of reference at scale 1:500, 1:1000 and 1:2000 in 2D, elaborated by the Cartography Section of the Planning Service., which represents the topographical reality of the TM of Valencia. It is a combination of photogrammetric refunds from the August 2018 flight, 2006 flights and GNSS measurements. Geodetic Reference System ETRS89, UTM projection in spindle 30. Vertical datum: the altitudes refer to the average level of the Mediterranean Sea in Alicante. EPSG code: 25830. Planimetric accuracy 10-50 centimeters. The continuous cartographic base is structured for exploitation using Geographic Information Systems. The geographical phenomena that make up the series are structured in these 6 thematic units: orography, hydrography, constructions and buildings, transport networks and toponymy. All of them contain the following fields: Creation: creation method (photogrammetric restoration, GNSS measurement, orthophoto digitisation), date of creation (flight date or date of data collection), scale (information generation scale).The data model of the BCV05 of the ICV was followed. The phenomena have been represented following the catalogue of phenomena of the CV05 series. In the case of elements not covered by the BCV05 model, it has been expanded by generating a data model for larger scales that can be requested at cartoinf@valencia.es.

This layer shows workers' place of residence by commute length. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of commuters whose commute is 90 minutes or more. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2015-2019ACS Table(s): B08303Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 10, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

ABSTRACT: This article is the result of a Participatory Action Research carried out during a professional internship in Social Work at Universidad Nacional de Colombia, in the pedagogical activities of the Núcleo de Educação Popular Paulo Freire of the Universidade do Estado do Pará at a long-term institution for older adults (ILPI - Instituição de longa permanência para idosos) in the city of Belém-Brazil. It aims to critically reflect and socialize the theoretical and methodological contributions made in the Colombian Social Service to the Popular Education with Older Adults in the city of Belém-Brazil. To this end, participatory methodologies and techniques (social cartography and the problem tree) are exposed as a transdisciplinary dialogue between Colombian Social Work and Popular Education, which allows the creation of scenarios of popular awareness with older adults of Belém. The results update the debate on Popular Education and Participatory Action Research, evidencing its validity together with a population segment little investigated in educational studies, the older adults protected by the State.

Brazil Imports: NCM: fob: Cartographic Work, Printed In Books or Brochures data was reported at 0.002 USD mn in Feb 2025. This records an increase from the previous number of 0.000 USD mn for Jan 2025. Brazil Imports: NCM: fob: Cartographic Work, Printed In Books or Brochures data is updated monthly, averaging 0.001 USD mn from Apr 2022 (Median) to Feb 2025, with 33 observations. The data reached an all-time high of 0.003 USD mn in Mar 2023 and a record low of 0.000 USD mn in May 2022. Brazil Imports: NCM: fob: Cartographic Work, Printed In Books or Brochures data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.NCM: HS49: Books, Newspapers, Pictures and Other Products of the Printing Industry; Others: Imports: Value.

The Geological Survey Branch of the South Australian Department of Mines began systematic production of standard geological map sheets in 1949. This work continues and is an important contribution to the development of the State. Base maps are... The Geological Survey Branch of the South Australian Department of Mines began systematic production of standard geological map sheets in 1949. This work continues and is an important contribution to the development of the State. Base maps are prepared in the Cartographic Section and regional geological mapping is carried out by various sections of the Survey and the Regional Mapping Section, which co-ordinates the mapping programme. In an outline of recommended mapping procedure it is suggested that the field geologist mark geology with black ink (use red for office interpretation) on the central part of alternate air photos, especially those with topography already marked by the Cartographic Section. The geologist transfers this geology to a base map, prepares a map legend and after checking by colleagues, hands base map and air photos to the Cartographic Section for preparation of a preliminary colour rough. The geologist must check this and the ensuing final colour rough prepare a tectonic sketch map and write a report on the area.

Brazil Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures data was reported at 100.000 kg in Feb 2025. This records an increase from the previous number of 2.000 kg for Jan 2025. Brazil Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures data is updated monthly, averaging 30.000 kg from Apr 2022 (Median) to Feb 2025, with 33 observations. The data reached an all-time high of 559.000 kg in Aug 2022 and a record low of 2.000 kg in Jan 2025. Brazil Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.NCM: HS49: Books, Newspapers, Pictures and Other Products of the Printing Industry; Others: Imports: Volume.

Philippe Vandermaelen (1795-1869) was born in Brussels at the end of the 18th century into a wealthy family. Already in his childhood he was very interested in cartography and became self-taught. He started his career with a work of monumental proportions: an Atlas universel, which he published between 1825 and 1827 in forty installments of ten folios each. This work is exceptional in two respects: it is the first world atlas, on a single scale, from which a gigantic globe with a diameter of 7.55 meters can be made; Moreover, it is the first atlas that was created using a printing technique that artists highly prized but with which scientists were not yet familiar: lithography. It did not take long for Philippe Vandermaelen to enjoy international fame. Immediately afterwards he started work on an Atlas de l'Europe in 165 folios. In 1830, Vandermaelen founded the Etablissement géographique de Bruxelles at the gates of the city. When Belgium became independent, the cartographer adapted his production. In just a few months he completed the first pages of a Carte de la Belgique d'après Ferraris in 42 folios. In parallel, he led a large-scale information gathering campaign that enabled him to begin publishing the Dictionnaires géographiques spéciaux des provinces de la Belgique in 1831. Very quickly Vandermaelen became the Belgian cartographer par excellence. In 1831 he was commissioned by the government to draw up a Carte des frontières on the basis of which negotiations between Belgium and Holland would be conducted. It was the beginning of a long collaboration between the government and this private entrepreneur. Vandermaelen was commissioned to map the roads, canals, railways and telegraph after the borders, and then also the mines and factories, the general leveling, the subsoil of Belgium and the expansion of Brussels. He took advantage of his privileged relations with the government to get his hands on the handwritten plans of the municipal land registries. He also acquired the existing trigonometry. He sent his topographers to the nine provinces to make the necessary measurements and published two Cartes topographiques de la Belgique: the map on a scale of 1:80,000 in 25 folios – a masterpiece of lithography – was completely completed in 1853, while the 250 folios of the map at a scale of 1:20,000 were published between 1846 and 1854, long before the map of the Military Depot, the first folios of which only rolled off the presses in 1865. When the Etablissement géographique de Bruxelles closed its doors for good in 1880, the Royal Library of Belgium acquired the lion's share of the immense production (Source: KBR). The digital disclosure of Vandermaelen's topographic map on a scale of 1:20,000 was achieved through a collaboration in 2009 between KBR and the then AGIV (Agency for Geographical Information Flanders), now Digital Flanders. The maps were digitized, georeferenced and made available for consultation via geopunt.be, the geoportal of GDI-Flanders. The intellectual property rights of the georeferenced maps are shared and belong to KBR and Digitaal Vlaanderen.

Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures在2025-02达100.000公斤，相较于2025-01的2.000公斤有所增长。Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures数据按月度更新，2022-04至2025-02期间平均值为30.000公斤，共33份观测结果。该数据的历史最高值出现于2022-08，达559.000公斤，而历史最低值则出现于2025-01，为2.000公斤。CEIC提供的Imports: NCM: Vol: Cartographic Work, Printed In Books or Brochures数据处于定期更新的状态，数据来源于Special Secretariat for Foreign Trade and International Affairs，数据归类于Brazil Premium Database的Foreign Trade – Table BR.NCM: HS49: Books, Newspapers, Pictures and Other Products of the Printing Industry; Others: Imports: Volume。

ObjectivesThis work was designed to adapt Geographical Information System-based spatial analysis to the study of historical epidemics. We mapped "plague" deaths during three epidemics of the early 15th century, analyzed spatial distributions by applying the Kulldorff's method, and determined their relationships with the distribution of socio-professional categories in the city of Dijon.Materials and MethodsOur study was based on a database including 50 annual tax registers (established from 1376 to 1447) indicating deaths and survivors among the heads of households, their home location, tax level and profession. The households of the deceased and survivors during 6 years with excess mortality were individually located on a georeferenced medieval map, established by taking advantage of the preserved geography of the historical center of Dijon. We searched for clusters of heads of households characterized by shared tax levels (high-tax payers, the upper decile; low-tax payers, the half charged at the minimum level) or professional activities and for clusters of differential mortality.ResultsHigh-tax payers were preferentially in the northern intramural part, as well as most wealthy or specialized professionals, whereas low-tax payers were preferentially in the southern part. During two epidemics, in 1400–1401 and 1428, areas of higher mortality were found in the northern part whereas areas of lower mortality were in the southern one. A high concentration of housing and the proximity to food stocks were common features of the most affected areas, creating suitable conditions for rats to pullulate. A third epidemic, lasting from 1438 to 1440 had a different and evolving geography: cases were initially concentrated around the southern gate, at the confluence of three rivers, they were then diffuse, and ended with residual foci of deaths in the northern suburb.ConclusionUsing a selected historical source, we designed an approach allowing spatial analysis of urban medieval epidemics. Our results fit with the view that the 1400–1401 epidemic was a Black Death recurrence. They suggest that this was also the case in 1428, whereas in 1438–1440 a different, possibly waterborne, disease was involved.

The 250mx250m population grid drawn up by the Andalusian Institute of Statistics and Cartography, provides meticulous and updated information on the distribution of the population in Andalusia, regardless of administrative divisions. It is a regular mesh of 250m x 250m cells to which, through georeferencing, the population has been assigned based on the location of the postal address where each of the inhabitants registered on January 1, 2018 in the Base resides. Longitudinal Population Data of Andalusia. As long as statistical secrecy is not compromised, in addition to the total population, each cell offers sociodemographic information allowing us to know the resident population according to large age groups, nationality, sex, place of birth, time of residence, state of affiliation, Receipt of a contributory pension from Social Security and job seekers from the Andalusian Employment Service. The website of the Institute of Statistics and Cartography of Andalusia. Junta de Andalucía offers a visualization service: "Spatial Distribution of the Population of Andalusia" that allows interactive consultation https://www.juntadeandalucia.es/institutodeestadisticaycartografia/distribucionpob/index.htm. In cases where the principle of statistical secrecy has been compromised, the data value has been replaced by the character '-1'. In the fields with information with nationality, the classifications are as follows: ESP: population with Spanish nationality. EU15: population with nationality of one of the member states of the European Union with a date of entry prior to 2004 (Germany, Austria, Belgium, Denmark, Finland, France, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, United Kingdom and Sweden). Spain is excluded. MAG, population with nationality of one of the following Maghreb countries (Algeria, Morocco and Tunisia). AMS population with nationality from a South American country (Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay and Venezuela); OTR, population with nationality of a country not included in the four indicated groups. The information related to Social Security affiliation distinguishes between: total affiliates, affiliates by sex, affiliates employed by others and affiliates on their own. On November 22, 2019, the population data is updated, corresponding to January 1, 2018. In addition, as of the 2015 edition, information on contributory pension recipients according to sex, type of pension and median income for this concept is included . The classification is as follows: PENCJUB: pensioners who exclusively receive retirement pensions, PENCVIU: pensioners who exclusively receive a widow's pension, PENCJYV: pensioners who receive both retirement and widowhood pensions, PENCINC: pensioners who exclusively receive a disability pension and PENCOTR: other types of pensioners not included in the four previous fields (orphans, in favor of relatives, ...) As of 2017, information is included in the File of job seekers registered in the offices of the Andalusian Employment Service (SAE), distinguishing between: total job seekers, male applicants and female applicants, in addition to total registered unemployment, registered unemployment in men and registered unemployment in women. In this latest edition, for the data for 2018, information is offered on the time elapsed in the municipality of residence. The IECA continues to work to continue including information that takes advantage of the potential of the integration of statistics, cartography and the exploitation of administrative records.