A spatio-temporal method for impact assessment: Case study of the impact of organic waste collection system scenarios in Amsterdam

Amsterdam circular economy ambitions raise the question of what would be the impact of an organic waste collection system on inhabitants. Impact is an effect of a source on a receptor. Existing impact modelling studies describe impact either from source or from receptor perspective. In spatial planning, both source and receptor are variant over space. However, incorporation of the spatial dimension in existing impact modelling studies is limited, especially in presentation of outcomes. The objective of this research is to answer: what spatio-temporal method is suitable to assess the impacts of organic waste collection system scenarios in Amsterdam? Tools used are QGIS and GRASS GIS, combined with PyQGIS scripting. Five impact indicators were defined: three nuisance indicators (noise, odour and congestion), all quantified in three factors (intensity, temporality and affected population), and two sustainable planning indicators (CO2 emission and waste collection), quantified in intensity factor only. Calculations are performed using simple theoretical principles, implemented from both source and receptor point of view. It was found that basic spatial tools and calculation principles suffice to quantify impact spatio-temporally. For congestion and waste collection modelling network calculations are needed. All indicator outcomes except for CO2 emission are relevant to present spatially. Both source and receptor point of view have their advantages and challenges, and therefore are complementing each other. Aggregation of factor values into one results in loss of information and transparency, which is contradicting to information and transparency gained by the high granularity spatio-temporal model. However, overview and simplicity in presentation of outcomes could be maintained by describing all impact factors per indicator in one clock-like marker. Impact assessment outcomes should be presented for individual sources and receptors. When presenting them on small scale, spatial aggregation into total values per neighbourhood is needed as well. Compared to presentation in a non-spatial graph, the spatial presentation of outcomes is of added value.Geomatic

Worldwide status of national geoportals 2016

A geoportal is a type of web portal that is used to find and access geographic information and associated geographic services (e.g., display, editing, analysis) via the Internet. Geoportals are important for the effective use of geographic information systems (GIS) and are a key element of Spatial Data Infrastructure (SDI) (Crompvoets, 2016).Over the last two decades, many governments and private companies have invested tens of billions of US Dollars in the development of geographic information, largely to serve specific communities (e.g., agriculture, urban/rural planning, and mining) within local, state, national, international, and even global contexts. The focus has increasingly shifted towards a platform for integrating geographic information by means of SDIs. SDIs facilitate access to existing geospatial data and services necessary to successfully use GIS. Moreover, SDIs facilitate the exchange and sharing of geospatial data between stakeholders within the geographic information community. This community mainly includes mapping agencies, universities, governmental and nongovernmental organizations, and private companies.Geoportals can be considered as gateways to SDI. They are not a repository where data are simply stored, but can be seen as a one-stop shop for geospatial data, sourced from numerous agencies. The performance of geoportals can vary enormously depending on numerous factors, such as the functionalities offered, the quality of the information offered, and a user’s capacity.In 1994, the US Federal Geospatial Data Committee (FGDC) established the National Geospatial Data Clearinghouse, aimed at facilitating efficient access to the overwhelming quantity of existing geospatial data (from federal agencies) and coordinating its exchange, with the objective of minimizing duplication (in the collection of expensive geospatial data) and assisting partnerships where common needs exist. The NGDC is considered the earliest implementation of a geoportal. Since 1994, the number of countries implementing national geoportals has steadily grown. As of February 2014, around 120 countries have an operational national geoportal in place and 12 countries initiated projects to launch a geoportal in the short-term (Crompvoets, 2016). Most countries in Asia, Europe, the Middle-East, Oceania, North America, and South America have established a geoportal for their nation, whereas most countries in Africa still have not established such a portal. However, several African initiatives to launch national geoportals appear promising. These national geoportals are evolving worldwide in tandem with national SDIs. A body of literature published in scientific/popular journals and conference proceedings describe the existing experiences (e.g., see conference papers of the Global Spatial Data Infrastructure Association).National geoportals are continuously evolving. In this context, it is important to have a longitudinal perspective when establishing and maintaining national geoportals. A first detailed study of monitoring all national geoportals worldwide started in 2000 (Crompvoets, 2016). This paper presents the worldwide status of national geoportals in 2016.Abstracts GSDI 15 World Conference Proceedings: Spatial Enablement in the Smart HomelandOLD Geo-information and Land Developmen

DynamIoT - Geomatics Synthesis Project on IoT: Using a dynamic sensor network to obtain spatiotemporal data in an urban environment

Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an extension on static sensor networks that gather real-time environmental data, the feasibility of implementing a dynamic sensor network based on LoRacommunication is researched. To achieve such a dynamic system, a self-developed sensor platform was constructed, based on the microcontroller LoPy. Sensors attached to it include a hygrometer, thermometer and microphone.The emphasis of the research was on localisation of the sensors, to put the gathered sensor data into geographical context. A WiFi fingerprinting radiomap was constructed based on available MAC-addresses, their signal strengths, and GPS coordinates. The GPS module was only used for composing the radiomap. When the radiomap is completed, the module can be switched off, only to be switched on for periodical updates of the radiomap. The quality of the radiomap methodology was evaluated by constructing it of measurements gathered in four days, and testing it for the remaining three days. This test gave a correctness of 50% while another 38% of measurements were localised in a neighbouring cell. The correctness can be improved by having a longer training period.The quality of the collected sensor data turned out to be dependent on the weather conditions and the placement location on the carrier vehicle. Vehicle requirements were specified as driving through the city centre and having a schedule and route producing as little noise, heat and air pollution as possible. Another topic of research was LoRa communication, which was deemed as very limited for dynamic implementations, as the sending of location-related data takes up a large part of the already limited message size. To decrypt the sent message and store it in a meaningful database, Node-RED was used. Despite visualisation of measurements showed promising results, there is margin for improvement as far as data capturing is concerned.Geomatic

Using a Dynamic Sensor Network to Obtain Spatiotemporal Data in an Urban Environment

Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an addition to static sensor networks that gather real-time environmental data, the feasibility of implementing a dynamic sensor network based on LoRa communication is researched. To achieve such a dynamic system, a self-developed sensor platform was constructed, based on the microcontroller LoPy, measuring temperature and humidity. The emphasis of the research is on the localisation of the sensor platforms. A WiFi fingerprinting radiomap was constructed based on available MAC-addresses, their signal strengths, and GPS coordinates. In this method the GPS module is only used for the composition of the radiomap. The quality of the radiomap methodology was assessed by constructing it of measurements gathered in four days, and testing it for the remaining three days. This test gave a correctness of 50% while another 38% of measurements were localised in a neighbouring cell. The quality of the collected sensor data turned out to be dependent on the weather conditions and the placement location on the carrier vehicle. Another topic of research was LoRa communication, which was deemed as very limited for dynamic implementations, as the sending of location-related data takes up a large part of the already limited message size.Design InformaticsOLD Department of GIS TechnologyOLD Urban Desig