## 3 Materials and Methods  
The acquisition of data on potential resources and their location in any region has become an essential operation for land management, planning, and development. The development of GIS techniques, which give their users the ability to manage and analyze spatial data, offers the possibility for scientific researchers and technical operators to develop predictive maps of potential georesources, which offer the possibility of assessing the geotechnical quality of rock outcrops in any area. In this study, to identify sites with geotechnically significant resources, we used GIS to combine field data, geotechnical test results, and classification standards and subsequently, extract the classification maps of the rock units according to their physical and mechanical characteristics, then deduce the results on the locations of the potential areas for exploitation. The steps followed to produce the geotechnical resource map are summarized by a conceptual diagram, shown in Figure 3.  
The geotechnical tests required the realization of a sampling campaign from the most representative outcrops in terms of quantity in the study area. Table 1 and Figure 4 show the samples studied, their litho-stratigraphic classifications, and their geographical distribution in the geological map. The samples were taken in triplicate and put in airtight plastic bags allowing a total backup and then transmitted to the laboratory to subject them to the various experimental protocols (Table 2). Figure 2: **(A)** The Anti–Atlas belt at the northern boundary of the West African Craton; **(B)** Schematic geological map of the Precambrian inliers of the Anti-Atlas range (modified after [16]). Figure 3: Conceptual diagram of the steps followed to produce the geotechnical resource map. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Sample** & **Lithology** & **Geological Facies** & **Stratigraphy Unit** \\ \hline SC-1 & Breccias and tuffs & Breccias and volcanic tuffs & NP3 sv1 \\ \hline SC-2 & Limestone & Black limestone with calcite nodules rich in Archaeoyathus & €i2c \\ \hline SC-3 & Quartz & Feriferous quartz & QzF \\ \hline SC-4 & Dolomite & Pink dolomites with sandy pasts, bedded, alternating with pink marks & €iTw2-3 \\ \hline SC-5 & Limestone & Dolomitic limestones, partly detrital & €i1a \\ \hline SC-6 & Dolomite & Blue dolomites & €iAd2b \\ \hline SC-7 & Limestone & Black limestone with calcite nodules rich in Archaeaoyathus & €i2c \\ \hline SC-8 & Limestone & Blue-grey limestones with Archaeoyathids and siliceous beds & €i2a \\ \hline SC-9 & Limestone & Blue-grey limestones with Archaeoyathids and siliceous beds & €i2a \\ \hline SC-10 & Limestone & Blue-grey limestones with Archaeoyathids and siliceous beds & €i2a \\ \hline SC-11 & Limestone & White dolomitic limestones, bedded & €i1b \\ \hline SC-12 & Limestone & Blue-grey limestones with Archaeoyathids and siliceous beds & €i2a \\ \hline SC-13 & Diorite & Quartzitic diorite & NP3i\(\delta\) \\ \hline SC-14 & Limestone & Blue-grey limestones with Archaeoyathids and siliceous beds & €i2a \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Geological formations of samples. According to the requirements for concrete or road aggregates [23; 24; 25], it is clear that the intrinsic and manufacturing parameters are the basis of choice. However, the manufacturing parameters are controllable, and this work is limited to the identification of the intrinsic parameters according to the standards [26; 27; 28; 29; 30; 31] (Table 2). In this study, the geotechnical classification by standard [32; 33] of the rock deposit in the study area is considered a factor. It was assessed using GIS [34; 35] and its details are listed in Table 3.