A Hybrid Approach for Mass Valuation of Residential Properties through Geographic Information Systems and Machine Learning Integration

Geographic Information Systems (GIS) and Machine Learning methods are now widely used in mass property valuation using the physical attributes of properties. However, locational criteria, such as as proximity to important places, sea or forest views, flat topography are just some of the spatial factors that affect property values and, to date, these have been insufficiently used as part of the valuation process. In this study, a hybrid approach is developed by integrating GIS and Machine Learning for mass valuation of residential properties. GIS-based Nominal Valuation Method was applied to carry out proximity, terrain, and visibility analyses using Ordnance Survey and OpenStreetMap data, than land value map of Great Britain was produced. Spatial criteria scores obtained from the GIS analyses were included in the price prediction process in which global and spatially clustered local regression models are built for England and Wales using Price Paid Data and Energy Performance Certificates data. Results showed that adding locational factors to the property price data and applying a novel nominally weighted spatial clustering algorithm for creating a local regression increased the prediction accuracy by about 45%. It also demonstrated that Random Forest was the most accurate ensemble model.     

First note on marine-like cementation of Late Holocene beachrock,Iznik Lake (Turkey)

Micro-fabric characteristics and optically stimulated luminescence (OSL) dating results are presented to discuss the controlling agents and timing of beachrock cementation on the fresh-water Iznik Lake shoreline. The beachrocks are made up of grain-supported polygenic conglomerate containing 20.42% carbonate with encrusted grains, basically as micrite coatings, isopachous aragonite rims, cryptocrystalline void fills and meniscus bridges. The optical ages of twelve samples yielded ages that range from 4.226±0.569 ka on the lowermost beds to 0.706±0.081 on the uppermost. This is the first report of precipitation of marine-like cements in Iznik Lake. The abundant aragonite-dominated cement is likely indicative of precipitation-prone dry evaporative conditions from the climatic optimum to the last millennia.     

Contemporary Studies of the Science of Hadith

Book reviewed in this article: Hadith Literature: Its Origin, Development and Special Features: Muhammed Zudayr Siddiqi An Introduction to the Hadith: John Burton     

From British mandate to post Anglo‐American invasion: Reproduction of ethno‐sectarian divides and the breakdown of social cohesion in Mosul

The invasion of Iraq in 2003 ushered in an era of great uncertainty and turbulence that left the country in an economically crippled, politically unstable, and socially desperate situation. While the built‐in ethno‐sectarian divides have been widely used as analytical categories to address the enduring violence in both Mosul and the rest of Iraq, little attention has been paid to the connection between the long‐term Anglo‐American invasion of Iraq and the ethno‐sectarian violence that currently characterizes Mosul. This study argues that while ethnic and sectarian loyalties have historically persisted in their social forms since the rule of the Ottoman Empire, the highly politicized and violent forms of ethno‐sectarian conflict are modern phenomena, produced and reproduced under the conditions of the decades‐long British and American interventions. The study retrospectively evaluates the current dynamics of ethno‐sectarian confrontations in Mosul through two stages in the long historiography of modern Iraq. The first section reveals how Britain’s mismanagement of colonial Iraq set the initial conditions for communal cleavages and instability in today’s Mosul. Later, the second section turns its attention toward the contemporary manifestation of ethno‐sectarian violence, particularly under the U.S.‐led occupation.