ABSTRACT Objective: the study aims to present cartography as a suitable method to research work and subjectivity in administration. Proposal: in this article, cartography is supported by Deleuze and Guattari’s concept of ‘rhizome,’ aligned to post-structuralism and grounded on administration studies. Finally, this study proposes the flâneur-cartographer as a cross-cutting practice in research. The use of cartography is illustrated by describing the cartographic path of a study on subjectivation processes that make up the immaterial labor of migrants and refugees in Brazil. Conclusions: tracking, touching, landing, attentive recognition, and, above all, the journey as a flâneur-cartographer guide the approach to the territory. Participant-observation of events-activities and interview-meeting with the various participants are simultaneous strategies to follow the processes of the territory, evidencing the research-participation or investigation-interaction, the cartographer’s political role, and the ethos of trust necessary in cartography. The analysis of the jointly produced data occurs throughout the research. Keeping vigilance to scientific norms, cartography configures itself as an affective and political method to assess the relationship between work and subjectivity in existential territories of difficult access. Therefore, the method offers a social contribution, welcoming multiplicity, alterity, and mobility.

Graph and download economic data for Employed full time: Wage and salary workers: Surveyors, cartographers, and photogrammetrists occupations: 16 years and over: Men (LEU0254585200A) from 2000 to 2024 about cartographers, photogrammetrists, occupation, full-time, males, 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.

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

The Jobs Proximity Index quantifies the accessibility of a given residential neighborhood (Census Block Group) as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location.

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.

Maps are increasingly read on mobile devices. Mobile maps necessitate specific design considerations to improve readability and user experience. Little research has focused on how to design mobile thematic maps, in contrast to reference maps. Data journalism represents a common way that the public encounters mobile thematic maps. This paper characterizes the design techniques and challenges associated with mobile thematic cartography in the context of data journalism. Through interviews with 18 expert news cartographers, I show that teams of data journalists are increasingly aware of mobile users, but face numerous constraints when designing for these users. They face time constraints, the need to design for both desktop and mobile, and must reach vast general audiences, meaning they often practice simultaneous design over mobile-first design. News cartographers have also reduced their use of interactivity, which reduces complexity related to designing for both desktop and mobile. This work shows that news cartographers solve mobile thematic map design challenges through iterative design processes that draw from years of expertise, not a strict set of guidelines. News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readersMany news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the otherNews cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possibleNews maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing News cartographers currently design mobile thematic maps based on generalized best practices, but are uncertain what choices do and do not work for their readers Many news cartographers design maps simultaneously for desktop and mobile, rather than prioritizing one over the other News cartographers are decreasing their use of interactive maps, given that they expect news readers want to consume information as fast as possible News maps are produced under time constraints that can be limiting on creativity and novelty, and without time for user testing

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

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.

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

These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

<<< This dataset is not released yet. Release date: 1st September, 2025. >>>

The Semantic Segmentation Map Dataset (Semap) contains 1,439 manually annotated map samples. Specifically, the dataset compiles 356 image patches from the Historical City Maps Semantic Segmentation Dataset (HCMSSD, [1]), 78 samples extracted from 19th century European cadastres [2–4], three from Paris city atlases [5], and 1,002 newly annotated samples, drawn from the Aggregated Dataset on the History of Cartography (ADHOC Images, [6]).

Additionally, it comprises 12,122 synthetically generated image samples and related labels.

Both datasets are part of the R. Petitpierre's PhD thesis [7]. Extensive details on annotation, and synthetical generation procedures are provided in the context of that work.

Organization of the data

To come soon.

Descriptive statistics

Number of semantic classes: 5 + background
Number of manually annotated image samples: 1,439
Number of synthetically-generated samples:
Image sample size:
min: 768 × 768 pixels
max: 1000 × 1000 pixels

Use and Citation

For any mention of this dataset, please cite :

@misc{semap_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi and Gomez Donoso, Damien and Kriesel, Ben},
title = {{Semantic Segmentation Map Dataset (Semap)}},
year = {2025},
publisher = {EPFL},
url = {https://doi.org/10.5281/zenodo.16164782}}

@phdthesis{studying_maps_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi},
title = {{Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration}},
year = {2025},
school = {EPFL}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

Work ethics

80% of the data were annotated by RP. The remainder were annotated by DGD and BK, two master's students from EPFL, Switzerland. The students were paid for their work using public funding, and were offered the possibility to be associated with the publication of the data.

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

1. Petitpierre, R. (2021). Historical City Maps Semantic Segmentation Dataset. V1.0. https://doi.org/10.5281/zenodo.5513639
2. di Lenardo I, Barman R, Pardini F, et al. (2021) Une approche computationnelle du cadastre napoléonien de Venise. Humanités numériques 3.
3. Petitpierre R, Rappo L and di Lenardo I (2023) Recartographier l’espace napoléonien. In: Humanistica 2023, Genève, Switzerland, June 2023. Géographie. Association francophone des humanités numériques. Available at: https://hal.science/hal-04109214.
4. Li S, Cerioni A, Herny C, et al. (2024) Vectorization of historical cadastral plans from the 1850s in the Canton of Geneva. Geneva, Switzerland: Swiss Territorial Data Lab. Available at: https://tech.stdl.ch/PROJ-CADMAP/.
5. Chazalon J, Carlinet E, Chen Y, et al. (2021) ICDAR 2021 Competition on Historical Map Segmentation. arXiv:2105.13265 [cs].
6. To come soon
7. Petitpierre R (2025) Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration. PhD thesis. École Polytechnique Fédérale de Lausanne.

The Geological Survey Branch of the South Australian Department of Mines and Energy began systematic production of standard geological map sheets in 1949. This work continues and is an important contribution to the development of the mineral,... The Geological Survey Branch of the South Australian Department of Mines and Energy began systematic production of standard geological map sheets in 1949. This work continues and is an important contribution to the development of the mineral, energy and water resources of the State. Base maps at a number of scales are prepared in the Map Compilation Section and regional geological mapping is carried out by various sections of the Survey and, in particular, the Regional Geology Division, which also co-ordinates the mapping programme. Using the recommended mapping procedure, the geologist records data on the central part of alternate air photos. These are commonly at scales of 1:15 000 to 1:80 000. Black ink is used for field information and red for office interpretation. Most field notes are written on the back of each air photo. After the completion of field mapping and air photo interpretation, the annotated photos are returned to the Map Compilation Section for preparation of a preliminary geological map, firstly in the form of six 1:100 000 ? scale sheets, then at 1:250 000 scale. After checking, a colour manuscript map is completed with legend, cross-sections, tectonic sketch map and rock relationship diagram, and is passed to the Map Publication Section for scribing and other cartographic work. Lithography is carried out by the Government Printing Department. Concurrently, the geologist writes a report on the geology of the area; field data are supplemented by the use of colour air photography, Landsat imagery, geophysical surveys, subsurface information, exploration company reports, biostratigraphy, and geochronology and petrology carried out by the Australian Mineral Development Laboratories.

This polygon shapefile contains statistics on type of work perfomred during the past week. The census information was collected by the Instituto Nacional de Estadistica in Honduras in August of 2013. The questionnaire and survey report for this census in included with this download.

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: 2019-2023ACS Table(s): B08303Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National 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, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). 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 erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. 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.

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.

IntroductionAssessing the contextual factors that influence walking for transportation is important to develop more walkable environments and promote physical activity. To advance previous research focused on residential environments and overall walking for transportation, the present study investigates objective environmental factors assessed around the residence, the workplace, the home – work itinerary, and the home – supermarket itinerary, and considered overall walking for transportation but also walking to work and to shops.MethodsData from the RECORD Study involving 7290 participants recruited in 2007–2008, aged 30–79 years, and residing in the Paris metropolitan area were analyzed. Multilevel ordinal regression analyses were conducted to investigate environmental characteristics associated with self-reported overall walking for transportation, walking to work, and walking to shops.ResultsHigh individual education was associated with overall walking for transportation, with walking to work, and walking to shops. Among workers, a high residential neighborhood education was associated with increased overall walking for transportation, while a high workplace neighborhood education was related to an increased time spent walking to work. The residential density of destinations was positively associated with overall walking for transportation, with walking to work, and with walking to shops, while the workplace density of destinations was positively associated with overall walking for transportation among workers. Environmental factors assessed around the itineraries were not associated with walking to work or to the shops.ConclusionThis research improves our understanding of the role of the environments on walking for transportation by accounting for some of the environments visited beyond the residential neighborhood. It shows that workers' walking habits are more influenced by the density of destinations around the workplace than around the residence. These results provide insight for the development of policies and programs to encourage population level active commuting.

Imports: NCM: fob: Cartographic Work, Printed In Books or Brochures在2025-02达0.002美元 百万，相较于2025-01的0.000美元 百万有所增长。Imports: NCM: fob: 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0.001美元 百万，共33份观测结果。该数据的历史最高值出现于2023-03，达0.003美元 百万，而历史最低值则出现于2022-05，为0.000美元 百万。CEIC提供的Imports: NCM: fob: 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: Value。

The Census Tract Boundary Files portray the census tract boundaries for which census data are disseminated. They are available for download in two types: cartographic and digital. Cartographic boundary files depict the geographic areas using only the shorelines of the major land mass of Canada and its coastal islands. Digital boundary files depict the full extent of the geographic areas, including the coastal water area. The files provide a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.