Access Open Geodata from the Dutch 'PDOK' Platform

Tools to discover, download, and spatially filter open geographic data from 'PDOK' (Publieke Dienstverlening Op de Kaart), the national geodata platform of the Netherlands. Datasets and their layers are searched and loaded as vector simple feature ('sf') objects through 'OGC' API Features endpoints, with automatic pagination and explicit coordinate reference system handling. Loaded layers can be filtered by any polygon area, and addresses or place names can be geocoded through the 'PDOK' location server. The focus is on vector feature data; raster, tile, and coverage services are out of scope. See < https://www.pdok.nl/> for more information about the platform and its services.

Who are You? Bayesian Prediction of Racial Category Using Surname, First Name, Middle Name, and Geolocation

Predicts individual race/ethnicity using surname, first name, middle name, geolocation, and other attributes, such as gender and age. The method utilizes Bayes' Rule (with optional measurement error correction) to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2016) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" Political Analysis and Imai, Olivella, and Rosenman (2022) "Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements" . The package also incorporates the data described in Rosenman, Olivella, and Imai (2023) "Race and ethnicity data for first, middle, and surnames" .

Visualisation and Annotation of 360 Degree Imagery

Provides a customisable R 'shiny' app for immersively visualising, mapping and annotating panospheric (360 degree) imagery. The flexible interface allows annotation of any geocoded images using up to 4 user specified drop-down menus. The app uses 'leaflet' to render maps that display the geo-locations of images and Panellum < https://pannellum.org/>, a lightweight panorama viewer for the web, to render images in virtual 360 degree viewing mode. Key functions include the ability to draw on & export parts of 360 images for downstream applications. Users can also draw polygons and points on map imagery related to the panoramic images and export them for further analysis. Downstream applications include using annotations to train Artificial Intelligence/Machine Learning (AI/ML) models and geospatial modelling and analysis of camera based survey data.