Joan Perez

About Joan Perez

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So far Joan Perez has created 11 blog entries.

Deploy a Guest Book on an EVM Blockchain Using Remix

Learn how to deploy your first smart contract on an Ethereum-compatible blockchain using Remix and the Sepolia testnet. In this beginner-friendly guide, we build a simple on-chain guestbook, connect MetaMask, verify the contract on Etherscan, and interact with it directly through the blockchain. A perfect starting point for anyone curious about smart contracts, Solidity, and decentralized applications.

2025-11-27T16:17:44+00:00November 27, 2025|Categories: Blockchain, Intermediate|Tags: , , , , |0 Comments

Qwen Image Edit for Urbanism v1.2 — Custom Nodes & Sequential Processing

ComfyUI Sequential Image Editing for Urbanism arrives in Qwen v1.2 with custom Python nodes, multi-image batch processing, and a six-slot buffer for reproducible urban edits. This version streamlines automated workflows for researchers, designers, and architects working with street and neighborhood imagery.

2025-11-17T16:26:21+00:00November 17, 2025|Categories: Uncategorized|Comments Off on Qwen Image Edit for Urbanism v1.2 — Custom Nodes & Sequential Processing

Qwen Image Edit for Urbanism v1.1 — Editing using a Reference Image and Advanced Sampling

Qwen Image Edit for Urbanism v1.1 expands local AI editing in ComfyUI with advanced sampling and dual-image workflows. The new Lightning LoRA system improves realism, texture fidelity, and processing speed, enabling fast, privacy-preserving urban scene transformation—entirely offline.

2025-11-14T09:53:20+00:00November 12, 2025|Categories: Advanced, Diffusion Models, Urbanism|Tags: , , |0 Comments

Qwen Image Edit for Urbanism v1.0 — Building a Qwen Pipeline in ComfyUI

Learn how to build a fully local AI image-editing workflow for urbanism and architectural visualization using ComfyUI and Qwen-Image-Edit. This step-by-step guide runs entirely offline with GGUF models, providing fast, private, and realistic visual edits.

2025-11-13T23:46:53+00:00November 9, 2025|Categories: Advanced, Diffusion Models, Urbanism|Tags: , , |0 Comments

Getting Started with MetaMask and the Polygon Amoy Testnet

Learn how to configure MetaMask for the Polygon Amoy testnet, claim free POL tokens and verify your transactions. Beginner‑friendly guide.

2025-11-08T13:08:11+00:00November 8, 2025|Categories: Blockchain, Getting Started|Tags: , , |0 Comments

Processing Spatial Data in the Cloud with GeoPandas and Google Colab

Learn how to process geospatial data entirely in the cloud using GeoPandas, Google Colab, and Drive. Create, analyze, and save maps without local setup.

2025-11-08T16:44:18+00:00November 7, 2025|Categories: Cloud computing, GIS, Intermediate, Python|Tags: , , , , |0 Comments

How to import a GeoPackage layer in Python (geopandas) and R (sf)

GeoPackage is an open and non-proprietary data format that allows different layers to be stored within the same file. In this post, we are going to read and save layers using python (geopandas) and R (sf).

2025-11-07T12:12:17+00:00May 13, 2024|Categories: GeoPackage, Getting Started, Python, R|Tags: , , , , , |0 Comments

Install R and RStudio for Spatial Analysis

R is an open-source statistical programming language used in statistical analysis but also in spatial analysis, artificial intelligence (AI), and machine learning (ML) applications. In this guide, we will walk you through the initial steps of setting up R and RStudio along with installing essential packages and testing them with spatial data.

2025-11-07T11:19:57+00:00April 24, 2024|Categories: Getting Started, GIS, R|Tags: , , , , |0 Comments

Controlling QGIS with Python using the Jupyter Notebook

Have you ever wondered about controlling QGIS with a Python script ? In this blog post, we'll explore how to call QGIS from a Python script in the Jupyter Notebook.

2025-11-07T10:24:04+00:00April 23, 2024|Categories: GIS, Intermediate, Python|Tags: , , , , |0 Comments

Exploring Spatial Patterns of Point Distributions using NDD and CSR

Calculating Nearest Neighbor Distance (NND) and comparing it with Complete Spatial Randomness (CSR) can be useful in various fields. In this tutorial, we will see together how to calculate a nearest neighbor distance from a given point pattern and compare it to a random distribution (CSR).