The COVID Analysis and Mapping of Policies (AMP) dataset is a research effort performed by researchers at the Georgetown University Center for Global Health Science and Security. The COVID AMP dataset is an Excel file (.xlsx) which includes data coded from 50,000 policies from January 2020 - June 2022, collected from U.S. states and the District of Columbia, US local governments (counties, cities) and national governments globally. The COVID AMP policy dataset contains a comprehensive set of fields describing the governing authority, the type of policy measure, the policy's intentions, and an analysis of the legal authority under which the policy is enacted. A Data Dictionary is included in the Excel file download.

In addition to the coded data, the COVID AMP Policy PDF Files (.zip) folder contains the raw text of the policies from which records were coded. Please note, users may experience slower download times with this large file.

OVERVIEWThis site is dedicated to raising the level of spatial and data literacy used in public policy. We invite you to explore curated content, training, best practices, and datasets that can provide a baseline for your research, analysis, and policy recommendations. Learn about emerging policy questions and how GIS can be used to help come up with solutions to those questions.EXPLOREGo to your area of interest and explore hundreds of maps about various topics such as social equity, economic opportunity, public safety, and more. Browse and view the maps, or collect them and share via a simple URL. Sharing a collection of maps is an easy way to use maps as a tool for understanding. Help policymakers and stakeholders use data as a driving factor for policy decisions in your area.ISSUESBrowse different categories to find data layers, maps, and tools. Use this set of content as a driving force for your GIS workflows related to policy. RESOURCESTo maximize your experience with the Policy Maps, we’ve assembled education, training, best practices, and industry perspectives that help raise your data literacy, provide you with models, and connect you with the work of your peers.

The COVID Analysis and Mapping of Policies (AMP) dataset is a research effort performed by researchers at the Georgetown University Center for Global Health Science and Security. This pre-print version of the COVID AMP database is an Excel file (.xlsx) which includes a library of nearly 50,000 policies from January 2020 - June 2022, collected from U.S. states and the District of Columbia, US local governments (counties, cities) and national governments globally.

In addition to the policies themselves, the COVID-AMP policy database contains a comprehensive set of metadata describing the governing authority, the type of policy measure, the policy's intentions, and an analysis of the legal authority under which the policy is enacted. A Data Dictionary is included in the file download.

Generalized Policy from the Comprehensive Plan Amendment Act of 2010, effective April 8, 2011.This data set is part of the Comprehensive Plan of the District of Columbia. It categorizes how different parts of the District may change by 2025. It highlights areas where more detailed Comprehensive Plan policies have been provided to manage this change. These policies may generally be found in the ten Area Elements. This dataset should be used to guide land use decision-making in conjunction with the Comprehensive Plan text, the Future Land Use Map, and other Comprehensive Plan maps. Boundaries within the dataset are to be interpreted in conjunction with these other resources in addition to the information shown here.

This dataset comprises mapping associated with the State Planning Policy 2.4 Basic Raw Materials (BRM). The Local government areas shown are those for which Significant Geological Supplies mapping has been completed to date. Many regional local government areas will not warrant the identification of Significant Geological Supplies as they do not experience the competing land use pressures associated with high growth areas nor the associated high demand for BRM. Show full description

The unprecedented travel bans introduced in response to the COVID-19 pandemic is a pertinent phenomenon of interest to scholars across the globe. Quantifying the timing and content of policy changes affecting travel and immigration is key to future research on the spread of SARS-CoV-2 and the socioeconomic impacts of these policies. The COVID Border Accountability Project (COBAP) provides a systematized dataset of >1000 policies, reflecting a timeline of new country-level restrictions on movement across international borders during the 2020 year. Using a 20-question survey, trained research assistants (RAs) sourced and documented for each new border policy: start and end dates, whether the closure constitutes a "complete closure" or "partial closure", which exceptions are made, which countries are banned, and which borders are closed, among other variables. In addition, the full text of each policy was included in the database. We maintain and update the data monthly. For public use, we visualize the data in an interactive map tool visualization: covidborderaccountability.org. For ongoing and future pandemic research, the dataset will be useful to policymakers, social and biomedical scientists, and public health experts alike.

Dataset Overview

This dataset is derived from Terms of Service; Didn't Read (ToS;DR), a project that analyzes and categorizes terms of service from various online services. The dataset has been cleaned and organized into two CSV files, with a focus on reproducibility and usability. The privacy dataset is a subset of the full dataset, specifically filtering for privacy-related terms.

File Descriptions

1. training_tosdr_all_data.csv

This file contains the complete collection of terms of service data after cleaning and preprocessing. Each row represents a statement (or "point") extracted from a service's terms of service.

Key Columns:

• case_id: Unique identifier for the case.
• case_title: Brief description of the case.
• topic_id: Unique identifier for the topic.
• topic_title: Broad category the case falls under (e.g., Transparency, Copyright License).
• sentence: The extracted text from the terms of service.
• seq_case_id: Sequential identifier for the case, used for mapping.
• seq_topic_id: Sequential identifier for the topic, used for mapping.

2. training_tosdr_privacy_data.csv

This file is a subset of the full dataset, focusing exclusively on privacy-related terms. It includes cases related to tracking, data collection, account deletion policies, and other privacy-related topics.

Key Columns:

• case_id: Unique identifier for the case.
• case_title: Brief description of the case.
• topic_id: Unique identifier for the topic.
• topic_title: Broad category the case falls under (e.g., Privacy, Data Collection).
• sentence: The extracted text from the terms of service.
• seq_case_id: Sequential identifier for the case, used for mapping.
• seq_topic_id: Sequential identifier for the topic, used for mapping.

Important – This dataset should be used for historical purposes only. Adopted Land Use Recommendations derived from the District Plans and updated with Area Plans, Streetscape Plans, Pedscape Plans, Rezoning cases, and Plan Amendments. The database covers Charlotte's Sphere of Influence. For up-to-date future land use guidance, the Charlotte Future 2040 Policy Map dataset should be used.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. We used ERDAS Imagine ® Professional 9.2, ENVI ® 4.5, and ArcGIS ® 9.3 with Arc Workstation to develop the vegetation spatial database. Existing GIS datasets that we used to provide mapping information include a NPS park boundary shapefile for VICK (including a 100 meter buffer boundary around the Louisiana Circle, South Fort, and Navy Circle satellite units), a land cover shapefile created by the NWRC (Rangoonwala et al. 2007), and the National Elevation Dataset (NED) (used as the source of the 10-meter elevation model and derived streams, slope, and hillshade). To make the entire spatial data set consistent with NPSVI policies to map only to park boundaries, we clipped the vegetation in and around the previously buffered areas around the Louisiana Circle, South Fort, and Navy Circle satellite unit NPS boundaries. We also added to the spatial database vegetation polygons for the previously omitted Grant’s Canal satellite unit by heads-up digitizing this area from a National Agricultural Information Program (NAIP) image.

This is a dataset on assets in Ajegunle-Ikorodu, done during the COVID-19 pandemic to examine the extent of facility provision and the extent to which residents are prepared against shocks and stresses

The Policies Map illustrates geographically all site specific policies set out in OPDC's Local Plan as adopted in June 2022. If you have any queries please get in contact at planningpolicy@opdc.london.gov.uk. NOTE: The boundaries are based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. Contains OS data © Crown copyright and database rights 2022.

The Law of 14 November 1996 implementing the City Recovery Pact (PRV) distinguished three levels of intervention: sensitive urban areas, urban revitalisation zones (ZRUs), urban free zones (ZFU). These three levels of intervention ZUS, ZRU and ZFU, characterised by devices of increasing importance, were intended to respond to different degrees of difficulties encountered in those neighbourhoods. Since then, the Planning Law for City and Urban Cohesion of 21 February 2014 has laid down (Article 5) the modalities for the reform of the priority geography of city policy. Two decrees issued in 2014 (No 2014-767 of 3 July 2014 and No 2014-1575 of 22 December 2014) set out these arrangements for the metropolis and for the ultramarine territories respectively. Thus, the national list of priority neighbourhoods of the city policy (Decrees n°2014-1750 and n° 2014-1751 of 30 December 2014) was produced and the national mapping of their perimeters was published. These perimeters replace sensitive urban areas (SEZs) and urban social cohesion contract (CUCS) neighbourhoods as of 1 January 2015.

Geographic Information System (GIS) data with the following mapping layers from the Greenbelt Plan:

• outer boundaries
• protected countryside and urban river valley designations
• specialty crop areas (Niagara tender fruit, grape area and Holland Marsh)
• settlement areas (towns, villages and hamlets)
• river valley connections.

The data also contains associated policy designation mapping.

Generally speaking, the stakes are people, property, activities, cultural or environmental heritage elements, threatened by a hazard and likely to be affected or damaged by it. The sensitivity of an issue to a hazard is called “vulnerability”. This object class brings together all the issues that have been addressed in the RPP study. An issue is a dated object whose consideration depends on the purpose of the RPP and its vulnerability to the hazards studied. A PPR issue can therefore be considered (or not) depending on the type or types of hazard being addressed. These elements form the basis of knowledge of the land cover necessary for the development of the RPP, in or near the study area, at the time of the analysis of the issues. The data on issues represent a (figible and non-exhaustive) photograph of assets and individuals exposed to hazards at the time of the development of the risk prevention plan. This data is not updated after approval of the RPP. In practice they are no longer used: the issues are recalculated as necessary with up-to-date data sources.

Research, policy analysis, and general legislative reports provided by the Legislative Policy Division to the Detroit City Council. Reports are in pdf format.For more information see these pages on detroitmi.gov:Legislative Policy DivisionLegislative Policy Division Reports

🇬🇧 United Kingdom English The Local Plan is a collection of Development Plan Documents (DPDs) Core Strategy and Development Management Policies documents and Supplementary Planning Documents (SPDs) to deliver positive social, economic, and environmental outcomes and provide the overarching local policy framework for delivering sustainable development in Barnet. It was adopted in September 2012 substantially replacing the Unitary Development Plan 2006. The most recent addition to the Local Plan is the North London Waste Plan (NLWP) which was adopted in March 2022. The main legislation for the process of preparing Local Plans is the Town and Country Planning (Local Planning) (England) Regulations 2012 as amended. This dataset contains geographic information for policies directed at specific areas or sites. Individual tables exist for different policies and features may be represented as points, lines, or polygons. The Local Plan dataset was created to support the planning documents as the Policies Map. It contains minimal attribution and is primarily intended to show where a policy is applied. Reflecting policies and proposals in the Core Strategy and Development Management Policies documents together with the NLWP the Policies Map represents the latest version of the Local Plan Barnet’s Local Plan is under review, and it is expected that a new Local Plan and Policies Map will be adopted in 2024. The Local Plan 2012 Policies Map dataset has been published through the Public Sector Geospatial Agreement Presumption to Publish Process in October 2023.

Dataset representing the Generalized Policy Map from the Comprehensive Plan Amendment Act of 2021. Categorizes how different parts of the District may change by 2025. It highlights areas where more detailed Comprehensive Plan policies are necessary to manage this change. This edition reflects the policy designations approved in Bill 24-1 and is subject to DC Council review and approval after Bill 24-1 becomes effective.

This dataset displays Tucson Police Department's activity for calendar year 2025. The data provided in this table can be accessed in dashboard form at https://policeanalysis.tucsonaz.gov. Older Police Activity data can be accessed as separate data sets by year back to 2018.PurposeTo provide publicly available data collected by Tucson Police Department.Dataset ClassificationLevel 0 – OpenKnown UsesNoneKnown ErrorsNo known errorsContactTucson Police DepartmentUpdate FrequencyUpdated monthly

This deposit contains the taxonomy maps and data we used to translate data on COVID-19 government responses from 7 different datasets into taxonomy developed by the CoronaNet Research Project (CoronaNet; Cheng et al 2020). These taxonomy maps form the basis of our efforts to harmonize this data into the CoronaNet database. The following taxonomy maps are deposited in the 'Taxonomy' folder:ACAPS COVID-19 Government Measures - CoronaNet Taxonomy Map Canadian Data Set of COVID-19 Interventions from the Canadian Institute for Health Information (CIHI) - CoronaNet Taxonomy Map COVID Analysis and Maping of Policies (COVID AMP) - CoronaNet Taxonomy Map Johns Hopkins Health Intervention Tracking for COVID-19 (HIT-COVID) - CoronaNet Taxonomy Map Oxford Covid-19 Government Response Tracker (OxCGRT) - CoronaNet Taxonomy Map World Health Organisation Public Health and Safety Measures (WHO PHSM) - CoronaNet Taxonomy MapMeanwhile the 'Data' folder contains the raw and mapped data for each external dataset (i.e. ACAPS, CIHI, COVID AMP, HIT-COVID, OxCGRT and WHO PHSM) as well as the combined external data for Steps 1 and 3 of the data harmonization process described in Cheng et al (2023) 'Harmonizing Government Responses to the COVID-19 Pandemic.'

The Law of 14 November 1996 implementing the City Recovery Pact (PRV) distinguished three levels of intervention: sensitive urban areas, urban revitalisation zones (ZRUs), urban free zones (ZFU). These three levels of intervention ZUS, ZRU and ZFU, characterised by mechanisms of increasing importance, were intended to respond to different degrees of difficulties encountered in these neighbourhoods. Since then, the Planning Law for City and Urban Cohesion of 21 February 2014 laid down (Article 5) the modalities for the reform of the priority geography of city policy. Two decrees issued in 2014 (No 2014-767 of 3 July 2014 and No 2014-1575 of 22 December 2014) set out these arrangements for the metropolis and for the ultramarine territories respectively. Thus, the national list of priority neighbourhoods of the city policy (Decrees n°2014-1750 and n° 2014-1751 of 30 December 2014) was produced and the national mapping of their perimeters was published. These perimeters replace sensitive urban areas (SEZs) and urban social cohesion contract (CUCS) neighbourhoods as of 1 January 2015.