Championing A Regional Spatial Data Infrastructure Southern African Customs Union Case

Context and background:Forest ecosystems have the capacity to regulate the climate as sink of carbon. This function allows them to maintain the ecological balance of the planet.

Context and backgroundTypical of an urban character, constant population growth in Enugu necessitated the need to provide adequate housing to the teeming population. In addition to the housing provision, a decent mass housing project was developed through proper spatial planning. In addition, the Enugu population, which is predominantly low-income, requires that such decent housing be made affordable.

Contribution Of Gis To The Mapping Of Landslide Risk Areas In The City Of Bafoussam

Context and background: With the advent of rising global initiatives to address climate change and sustainability, interest in addressing theoretical and practical alignment of how professional valuers consider environmental attributes has become the focus of much attention.

Contexte et contexte La variabilité climatique est une réalité au Burkina Faso, et les catastrophes naturelles en sont les effets visibles. Cela pose d’énormes défis tant aux gouvernements qu’aux populations locales. Cependant, il est difficile de mettre en œuvre une véritable politique sans comprendre le phénomène et ses conséquences sociales et environnementales.

ABSTRACT  Context and background Wheat is one of the oldest cultivated plants in the world and has always been one of the most important staples for millions of people around the world and especially in North Africa, where wheat is the most used crop for typical food industry.

Context and backgroundExtreme heat is one of the challenges facing urban areas. Though this constitutes a global urban challenge, especially large cities in the world, Urban studies have barely paid attention to urban heat.Goal and Objectives:This study attempts to respond to the research gap through drawing on early warning systems to explore community and governments to extreme heat, in particular, how residents adapt to extreme heat in Dar es Salaam.Methodology:Kigogo ward in the city of Dar es Salaam was selected as a case study area.

Context and objectives:Climate extremes associated with wet and dry conditions are one of the main causal elements of the disasters that adversely impact Uganda`s agriculturally based economy. However, the lack of reliable forecast records for wet and dry conditions remains a challenge at a local scale.

Context and Background Estimating cereal yields in Morocco is still based on the traditional statistical method known as "CCE" crop cutting, which is objective but tedious and requires a lot of logistics, despite the fact that in 2012 a system for predicting cereal yields in Morocco called "CGMS_MA" was introduced to support this method; this system does not allow yields to be estimated at plot level, given the coarse resolution of the integrated satellite images (NDVI_AVHR), which is 1.1km.

In Tanzania, the increase in the number of commercial motorcycles operating in the urban areas has resulted to the establishment of informal parking spaces in various parts of towns and cities. This research aimed to explore the criteria used by commercial motorcycle operators to establish informal motorcycle parking spaces in urban areas. The study on the influence of land use on the spatial distribution of informal motorcycle parking spaces applied triangulation techniques to ensure the validity and reliability of the collected data.

Context and background:Intelligent transportation is a dynamic field focused on enhancing travel efficiency, reducing congestion, and increasing convenience. Central to this domain is the collection and analysis of spatio-temporal data, enabling precise traffic flow predictions and the development of intelligent traffic management systems. Integrating geospatial data, encompassing road topology and proximity to public infrastructure and transportation services, presents a significant challenge in designing effective intelligent transportation systems.