Urban Morphology - Science topic

What do you know about urban morphology studies in developing countries, especially Egypt?

I intend to perform a factor analysis to identify the cause-effect relationship and extract the important variables in my study area for the changing urban morphology. I will perform perception surveys to understand the impact and experience of the local people and Cochren sample survey formula to identify the sample size.

How do we understand the efficiency levels between the Ordinary Least Square (OLS) Regression Model & Exploratory Regression (spatial statistics) when deriving models for spatial parameters related to urban form?

Although there is an excellent quantity of literature on sustainable development and walkability in urban areas, the discussion on urban morphology and the strategies to integrate the principles into the climate-resilient process is still little. As a certain consequence of a climate-responsive urban area, we can expect more people to walk comfortably. There are various strategies to evaluate walkability in urban areas, including the Space Syntax method. Are there any algorithm in Grasshopper to evaluate the three main component os walkability (Permeability, Catchment, and Integration)?

What are the main references including book chapter, journal articles etc, which could be useful for urban morphology analysis and modelling?

What kind of dimensions can use to study comprehensive urban form? Most of the scholars have mentioned about the Density, accessibility and Land uses mix dimensions. But these dimensions can not capture well accurate urban form character. Other than that, what kind of dimensions can use to understand characters of the urbanity.

I have a set of urban morphology index (continuous variable) and I have a set of rate of crimes (per type). I want to apply Pearson correlation to see the relationship between the two set of variables, however, in most of the cases the relationship is not quite linear and the variables are not following the normal distribution.

Please! What is the advice you might give me?

1. What if I scale transform my variable, say using Log ()? I am quite afraid, it seems that transforming the variables will change the relationship and maybe the meaning between those variables.

2. I am thinking about scaling all those variables let say between 0 and 1, although I am not quite sure about it yet.

Note: I am more interested in exploring the direction of the relationship than the strength of the relationship.

I'm working on a paper about the relation between urban morphology and climate changes. I need the maps in order to compare the terrain use back in 1980 and current situation  to simulate the data by CFD. 

First , we choose different public spaces , in these spaces I'll evaluate the impact of  three parameters of urban morphology on thermal comfort on public space scale, according to the study of Adolphe Luc, i have chose to study three morphological parameters that are : the nature of urban surface, plant density, H / L ratio ,Then I will calculate the score of walkability according to the method of Ewing and al. The researchers establish five characteristics that will positively influence the pedestrian's perceptions face ti its environment. Human Scale is one of these characteristics, which provides a direct link with morphological parameters that we have chosen to study. 

EN: In order to carry out a survey / questionnaire on the degree of satisfaction of the inhabitants In relation to walkability in the different tissues forming the city, I would need a few measurable indicators of walkability (in relation to urban morphology), I think Concept of "Comfort" and "Protection" of pedestrians. Are there any others.? Thank you

FR: Pour effectuer un sondage/questionnaire sur le degré de satisfaction des habitants par rapport à la marchabilité dans les différents tissus formant la ville, j'aurais besoin de quelques indicateurs mesurables de la marchabilité (en relation avec la morphologie urbaine), je pense à la notion du "Confort" et de "Protection" des piétonniers. y' en a t-ils d'autres? Merci

Speaking about Urban Morphology BCR (Coverage) indicate which percentage of a selection area is occupied by building footprints. Building density is the number of buildings per hectare. I'm wondering if in literature already exist a minimum value for these indicators to classify an area as rural or urban.

Thanks

How can we take the measure of walkability of a city? with what tools?

I am trying to create an overlay between different (digitised) historical maps and the current map of a city in GIS. What methods are there to reconstruct historical maps in such a way that they accurately overlap with modern geodata?

I currently have the digitised version of three historical maps which were drawn at different scales (1:10.000, 1:5000, 1:2000) and in different projections.

A) Inspiration:

1."Does causality involve contiguity"-from Mario Bunge in his book: "Causality and Modern Science"

2. Torsten Hägerstrand and his Time Geography

B) Context: urban sprawl/spatial multipliers

C) Main assumption: the central business district is known and is stable in time and geographic space

D) Question breakdown: Can the trajectory of urban growth be determined (e.g. centrifugal forces radiating from the CBD) if patterns of spatial contiguity are identifiable?

E) Empirical source: spatial contiguity is analyzed through images of the land mass (e.g. remotely-accessed).

There is a growing need for the evaluation, assessment, or even measurment of urban resilience. In contrast to the complexity of urban processes, the physical layout of cities (that is, patterns in this case) may, to a certain extent, be measured easier. Therefore a morphological approach to urban resilience may contribute to the development and improvement of resilience assessment tools. Did anyone find spatial indicators that may be directly related to resilience? Are there any morphological studies or tools that explicitly refer to resilience?